Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Rutgers University" +contributor:("Bekris, Kostas"). Showing records 1 – 30 of 33 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters


Rutgers University

1. Zhao, Min, 1983-. Identifying features of legible manipulation paths.

Degree: MS, Computer Science, 2014, Rutgers University

 This work performs an experimental study on the legibility of paths executed by a manipulation arm available on a Baxter robot. In this context, legibility… (more)

Subjects/Keywords: Robotics – Human factors; Robotics – Design and construction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, Min, 1. (2014). Identifying features of legible manipulation paths. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45600/

Chicago Manual of Style (16th Edition):

Zhao, Min, 1983-. “Identifying features of legible manipulation paths.” 2014. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45600/.

MLA Handbook (7th Edition):

Zhao, Min, 1983-. “Identifying features of legible manipulation paths.” 2014. Web. 29 Sep 2020.

Vancouver:

Zhao, Min 1. Identifying features of legible manipulation paths. [Internet] [Masters thesis]. Rutgers University; 2014. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45600/.

Council of Science Editors:

Zhao, Min 1. Identifying features of legible manipulation paths. [Masters Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45600/


Rutgers University

2. Chakraborty, Nilay, 1989-. Multiplayer game frameworks for crowd-aware co-design of environment.

Degree: MS, Computer Science, 2017, Rutgers University

 This paper proposes two frameworks in the field of Games in Research. • Proposal1 Architectural design decisions stand to benefit by accounting for the presence… (more)

Subjects/Keywords: Architectural design; Video games – Design

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chakraborty, Nilay, 1. (2017). Multiplayer game frameworks for crowd-aware co-design of environment. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/53469/

Chicago Manual of Style (16th Edition):

Chakraborty, Nilay, 1989-. “Multiplayer game frameworks for crowd-aware co-design of environment.” 2017. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/53469/.

MLA Handbook (7th Edition):

Chakraborty, Nilay, 1989-. “Multiplayer game frameworks for crowd-aware co-design of environment.” 2017. Web. 29 Sep 2020.

Vancouver:

Chakraborty, Nilay 1. Multiplayer game frameworks for crowd-aware co-design of environment. [Internet] [Masters thesis]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53469/.

Council of Science Editors:

Chakraborty, Nilay 1. Multiplayer game frameworks for crowd-aware co-design of environment. [Masters Thesis]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53469/


Rutgers University

3. Tang, Guangzhi. Gridbot: towards a neuroinspired navigation system for robot planning.

Degree: MS, Computer Science, 2017, Rutgers University

 The ability to orient in an unknown, fast-changing, environment is an unmet challenge for robots but a seamlessly solved problem for the primate brain. This… (more)

Subjects/Keywords: Intelligent control systems; Robots; Space perception

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tang, G. (2017). Gridbot: towards a neuroinspired navigation system for robot planning. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/54029/

Chicago Manual of Style (16th Edition):

Tang, Guangzhi. “Gridbot: towards a neuroinspired navigation system for robot planning.” 2017. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/54029/.

MLA Handbook (7th Edition):

Tang, Guangzhi. “Gridbot: towards a neuroinspired navigation system for robot planning.” 2017. Web. 29 Sep 2020.

Vancouver:

Tang G. Gridbot: towards a neuroinspired navigation system for robot planning. [Internet] [Masters thesis]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/54029/.

Council of Science Editors:

Tang G. Gridbot: towards a neuroinspired navigation system for robot planning. [Masters Thesis]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/54029/

4. Chukka, Aditya H., 1992-. Evaluating model free policy optimization strategies for non linear systems.

Degree: MS, Computer Science, 2017, Rutgers University

 The Iterative Linear Quadratic Regulator (ILQR), a variant of Differential Dynamic Programming (DDP) is a tool for optimizing both open-loop trajectories and guiding feedback controllers… (more)

Subjects/Keywords: Mathematical optimization; Reinforcement learning – Mathematical models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chukka, Aditya H., 1. (2017). Evaluating model free policy optimization strategies for non linear systems. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/53472/

Chicago Manual of Style (16th Edition):

Chukka, Aditya H., 1992-. “Evaluating model free policy optimization strategies for non linear systems.” 2017. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/53472/.

MLA Handbook (7th Edition):

Chukka, Aditya H., 1992-. “Evaluating model free policy optimization strategies for non linear systems.” 2017. Web. 29 Sep 2020.

Vancouver:

Chukka, Aditya H. 1. Evaluating model free policy optimization strategies for non linear systems. [Internet] [Masters thesis]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53472/.

Council of Science Editors:

Chukka, Aditya H. 1. Evaluating model free policy optimization strategies for non linear systems. [Masters Thesis]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53472/


Rutgers University

5. Zhao, Min. Understanding humans’ strategies in maze solving from eye-hand coordination.

Degree: PhD, Psychology, 2014, Rutgers University

Navigating through an overhead visual maze is a demanding task. It relies on the strategic use of eye movements to select and identify the route.… (more)

Subjects/Keywords: Maze puzzles; Eye-hand coordination; Memory

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhao, M. (2014). Understanding humans’ strategies in maze solving from eye-hand coordination. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45599/

Chicago Manual of Style (16th Edition):

Zhao, Min. “Understanding humans’ strategies in maze solving from eye-hand coordination.” 2014. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45599/.

MLA Handbook (7th Edition):

Zhao, Min. “Understanding humans’ strategies in maze solving from eye-hand coordination.” 2014. Web. 29 Sep 2020.

Vancouver:

Zhao M. Understanding humans’ strategies in maze solving from eye-hand coordination. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45599/.

Council of Science Editors:

Zhao M. Understanding humans’ strategies in maze solving from eye-hand coordination. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45599/


Rutgers University

6. Zhong, Lin, 1985-. Single image deblurring with or without face prior and its applications.

Degree: PhD, Computer Science, 2015, Rutgers University

The motion blur is one of the most difficult challenges in photography, which is generated from the relative motion between the sensor and the scene… (more)

Subjects/Keywords: Image processing – Digital techniques; Human face recognition (Computer science)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhong, Lin, 1. (2015). Single image deblurring with or without face prior and its applications. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47622/

Chicago Manual of Style (16th Edition):

Zhong, Lin, 1985-. “Single image deblurring with or without face prior and its applications.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47622/.

MLA Handbook (7th Edition):

Zhong, Lin, 1985-. “Single image deblurring with or without face prior and its applications.” 2015. Web. 29 Sep 2020.

Vancouver:

Zhong, Lin 1. Single image deblurring with or without face prior and its applications. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47622/.

Council of Science Editors:

Zhong, Lin 1. Single image deblurring with or without face prior and its applications. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47622/


Rutgers University

7. Yu, Xiang, 1986-. Unconstrained face landmark localization: algorithms and applications.

Degree: PhD, Computer Science, 2015, Rutgers University

Nowadays, facial landmark localization in unconstrained environments has attracted increasing attention in computer vision, which is a fundamental step in face recognition, expression recognition, face… (more)

Subjects/Keywords: Computer vision; Face perception

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, Xiang, 1. (2015). Unconstrained face landmark localization: algorithms and applications. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48737/

Chicago Manual of Style (16th Edition):

Yu, Xiang, 1986-. “Unconstrained face landmark localization: algorithms and applications.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/48737/.

MLA Handbook (7th Edition):

Yu, Xiang, 1986-. “Unconstrained face landmark localization: algorithms and applications.” 2015. Web. 29 Sep 2020.

Vancouver:

Yu, Xiang 1. Unconstrained face landmark localization: algorithms and applications. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48737/.

Council of Science Editors:

Yu, Xiang 1. Unconstrained face landmark localization: algorithms and applications. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48737/


Rutgers University

8. Yu, Yang. Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis.

Degree: PhD, Computer Science, 2015, Rutgers University

In signal processing, sparseness means that there are only small amounts of non-zero elements. This property has been widely observed in various types of signals.… (more)

Subjects/Keywords: Magnetic resonance imaging; Heart – Imaging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, Y. (2015). Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48738/

Chicago Manual of Style (16th Edition):

Yu, Yang. “Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/48738/.

MLA Handbook (7th Edition):

Yu, Yang. “Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis.” 2015. Web. 29 Sep 2020.

Vancouver:

Yu Y. Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48738/.

Council of Science Editors:

Yu Y. Sparsity-based methods for cardiac magnetic resonance image reconstruction and analysis. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48738/


Rutgers University

9. Gao, Mingchen, 1988-. Cardiac reconstruction and analysis from high resolution CT images.

Degree: PhD, Computer Science, 2014, Rutgers University

Heart disease is a major cause of mortality worldwide. Detecting/diagnosing such diseases in their early stages is critical, and heavily depends on non-invasive imaging methods,… (more)

Subjects/Keywords: Heart – Tomography; Heart – Imaging; Heart – Diseases – Diagnosis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gao, Mingchen, 1. (2014). Cardiac reconstruction and analysis from high resolution CT images. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45272/

Chicago Manual of Style (16th Edition):

Gao, Mingchen, 1988-. “Cardiac reconstruction and analysis from high resolution CT images.” 2014. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45272/.

MLA Handbook (7th Edition):

Gao, Mingchen, 1988-. “Cardiac reconstruction and analysis from high resolution CT images.” 2014. Web. 29 Sep 2020.

Vancouver:

Gao, Mingchen 1. Cardiac reconstruction and analysis from high resolution CT images. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45272/.

Council of Science Editors:

Gao, Mingchen 1. Cardiac reconstruction and analysis from high resolution CT images. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45272/


Rutgers University

10. Yan, Zhennan, 1983-. Robust medical image recognition and segmentation.

Degree: PhD, Computer Science, 2016, Rutgers University

In recent decades, with increasing amount of medical data, clinical trials are designed and conducted to explore whether a medical strategy, treatment, or device is… (more)

Subjects/Keywords: Diagnostic imaging; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yan, Zhennan, 1. (2016). Robust medical image recognition and segmentation. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51515/

Chicago Manual of Style (16th Edition):

Yan, Zhennan, 1983-. “Robust medical image recognition and segmentation.” 2016. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/51515/.

MLA Handbook (7th Edition):

Yan, Zhennan, 1983-. “Robust medical image recognition and segmentation.” 2016. Web. 29 Sep 2020.

Vancouver:

Yan, Zhennan 1. Robust medical image recognition and segmentation. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51515/.

Council of Science Editors:

Yan, Zhennan 1. Robust medical image recognition and segmentation. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51515/


Rutgers University

11. Psarakis, Zacharias, 1989-. Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics.

Degree: MS, Computer Science, 2018, Rutgers University

 The Amazon Robotics Challenge was an event created by Amazon to bring robotics teams together and try to push forward the research on robotics automation… (more)

Subjects/Keywords: Warehouses – Management; Robots – Programming

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Psarakis, Zacharias, 1. (2018). Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57682/

Chicago Manual of Style (16th Edition):

Psarakis, Zacharias, 1989-. “Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics.” 2018. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/57682/.

MLA Handbook (7th Edition):

Psarakis, Zacharias, 1989-. “Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics.” 2018. Web. 29 Sep 2020.

Vancouver:

Psarakis, Zacharias 1. Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics. [Internet] [Masters thesis]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57682/.

Council of Science Editors:

Psarakis, Zacharias 1. Integrating and evaluating planning primitives for robot manipulation tasks in warehouse logistics. [Masters Thesis]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57682/


Rutgers University

12. Uzunbas, Mustafa Gokhan, 1983-. Automatic and interactive segmentations using deformable and graphical models.

Degree: PhD, Computer Science, 2015, Rutgers University

Image segmentation i.e. dividing an image into regions and categories is a classic yet still challenging problem. The key to success is to use/develop the… (more)

Subjects/Keywords: Image segmentation; Image analysis; Electron microscopy

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Uzunbas, Mustafa Gokhan, 1. (2015). Automatic and interactive segmentations using deformable and graphical models. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/46449/

Chicago Manual of Style (16th Edition):

Uzunbas, Mustafa Gokhan, 1983-. “Automatic and interactive segmentations using deformable and graphical models.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/46449/.

MLA Handbook (7th Edition):

Uzunbas, Mustafa Gokhan, 1983-. “Automatic and interactive segmentations using deformable and graphical models.” 2015. Web. 29 Sep 2020.

Vancouver:

Uzunbas, Mustafa Gokhan 1. Automatic and interactive segmentations using deformable and graphical models. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46449/.

Council of Science Editors:

Uzunbas, Mustafa Gokhan 1. Automatic and interactive segmentations using deformable and graphical models. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/46449/


Rutgers University

13. Banga, Karansingh, 1991-. Development of an adaptive serious game for assessing cognitive engagement.

Degree: MS, Computer Science, 2019, Rutgers University

 Cognitive Engagement is defined as "The act of beginning and carrying on of activity with a sense of emotional involvement or commitment and the deliberate… (more)

Subjects/Keywords: Nervous system  – Diseases  – Patients  – Rehabilitation  – Technological innovations; Games  – Therapeutic use

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Banga, Karansingh, 1. (2019). Development of an adaptive serious game for assessing cognitive engagement. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60588/

Chicago Manual of Style (16th Edition):

Banga, Karansingh, 1991-. “Development of an adaptive serious game for assessing cognitive engagement.” 2019. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60588/.

MLA Handbook (7th Edition):

Banga, Karansingh, 1991-. “Development of an adaptive serious game for assessing cognitive engagement.” 2019. Web. 29 Sep 2020.

Vancouver:

Banga, Karansingh 1. Development of an adaptive serious game for assessing cognitive engagement. [Internet] [Masters thesis]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60588/.

Council of Science Editors:

Banga, Karansingh 1. Development of an adaptive serious game for assessing cognitive engagement. [Masters Thesis]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60588/


Rutgers University

14. Ren, Baozhang. Development of an efficient RGB-D annotation tool for video sequence.

Degree: MS, Computer Science, 2020, Rutgers University

 With the prevalence of neural networks and deep learning models, more data is required to expand the domain as well as to improve the accuracy… (more)

Subjects/Keywords: RGBD; Image processing  – Digital techniques

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ren, B. (2020). Development of an efficient RGB-D annotation tool for video sequence. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/62750/

Chicago Manual of Style (16th Edition):

Ren, Baozhang. “Development of an efficient RGB-D annotation tool for video sequence.” 2020. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/62750/.

MLA Handbook (7th Edition):

Ren, Baozhang. “Development of an efficient RGB-D annotation tool for video sequence.” 2020. Web. 29 Sep 2020.

Vancouver:

Ren B. Development of an efficient RGB-D annotation tool for video sequence. [Internet] [Masters thesis]. Rutgers University; 2020. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62750/.

Council of Science Editors:

Ren B. Development of an efficient RGB-D annotation tool for video sequence. [Masters Thesis]. Rutgers University; 2020. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62750/


Rutgers University

15. Littlefield, Zakary, 1989-. Efficient and asymptotically optimal kinodynamic motion planning.

Degree: PhD, Robots  – Control systems, 2020, Rutgers University

This dissertation explores properties of motion planners that build tree data structures in a robot’s state space. Sampling-based tree planners are especially useful for planning… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Littlefield, Zakary, 1. (2020). Efficient and asymptotically optimal kinodynamic motion planning. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/64103/

Chicago Manual of Style (16th Edition):

Littlefield, Zakary, 1989-. “Efficient and asymptotically optimal kinodynamic motion planning.” 2020. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/64103/.

MLA Handbook (7th Edition):

Littlefield, Zakary, 1989-. “Efficient and asymptotically optimal kinodynamic motion planning.” 2020. Web. 29 Sep 2020.

Vancouver:

Littlefield, Zakary 1. Efficient and asymptotically optimal kinodynamic motion planning. [Internet] [Doctoral dissertation]. Rutgers University; 2020. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64103/.

Council of Science Editors:

Littlefield, Zakary 1. Efficient and asymptotically optimal kinodynamic motion planning. [Doctoral Dissertation]. Rutgers University; 2020. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64103/


Rutgers University

16. Shome, Rahul. The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees.

Degree: PhD, Robotics, 2020, Rutgers University

 This thesis deals with task and motion planning challenges, specifically those involving manipulating multiple objects using multiple robot manipulators. The contributions range from a new… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shome, R. (2020). The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/64106/

Chicago Manual of Style (16th Edition):

Shome, Rahul. “The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees.” 2020. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/64106/.

MLA Handbook (7th Edition):

Shome, Rahul. “The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees.” 2020. Web. 29 Sep 2020.

Vancouver:

Shome R. The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees. [Internet] [Doctoral dissertation]. Rutgers University; 2020. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64106/.

Council of Science Editors:

Shome R. The problem of many: efficient multi-arm, multi-object task and motion planning with optimality guarantees. [Doctoral Dissertation]. Rutgers University; 2020. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/64106/


Rutgers University

17. Senlet, Turgay, 1981-. Visual localization, semantic video segmentation and labeling using satellite maps.

Degree: PhD, Computer Science, 2015, Rutgers University

In this dissertation, I propose vision-based geo-localization and segmentation methods that make use of semantic and appearance information from satellite images. First, I present a… (more)

Subjects/Keywords: Image segmentation; Visual perception

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Senlet, Turgay, 1. (2015). Visual localization, semantic video segmentation and labeling using satellite maps. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47583/

Chicago Manual of Style (16th Edition):

Senlet, Turgay, 1981-. “Visual localization, semantic video segmentation and labeling using satellite maps.” 2015. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/47583/.

MLA Handbook (7th Edition):

Senlet, Turgay, 1981-. “Visual localization, semantic video segmentation and labeling using satellite maps.” 2015. Web. 29 Sep 2020.

Vancouver:

Senlet, Turgay 1. Visual localization, semantic video segmentation and labeling using satellite maps. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47583/.

Council of Science Editors:

Senlet, Turgay 1. Visual localization, semantic video segmentation and labeling using satellite maps. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47583/


Rutgers University

18. El-Gaaly, Tarek, 1983-. A joint framework for object recognition: categorization, instance recognition and pose estimation.

Degree: PhD, Computer Science, 2016, Rutgers University

Visual object recognition is a challenging problem with a wide range of real-life applications. The difficulty of this problem is due to variation in shape… (more)

Subjects/Keywords: Computer vision; Pattern recognition systems; Image processing – Digital techniques

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

El-Gaaly, Tarek, 1. (2016). A joint framework for object recognition: categorization, instance recognition and pose estimation. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49202/

Chicago Manual of Style (16th Edition):

El-Gaaly, Tarek, 1983-. “A joint framework for object recognition: categorization, instance recognition and pose estimation.” 2016. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/49202/.

MLA Handbook (7th Edition):

El-Gaaly, Tarek, 1983-. “A joint framework for object recognition: categorization, instance recognition and pose estimation.” 2016. Web. 29 Sep 2020.

Vancouver:

El-Gaaly, Tarek 1. A joint framework for object recognition: categorization, instance recognition and pose estimation. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49202/.

Council of Science Editors:

El-Gaaly, Tarek 1. A joint framework for object recognition: categorization, instance recognition and pose estimation. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49202/


Rutgers University

19. Liu, Jingjing, 1985-. Exploiting multispectral and contextual information to improve human detection.

Degree: PhD, Computer Science, 2017, Rutgers University

Human detection has various applications, e.g., autonomous driving car, surveillance system, and retail. In this dissertation, we first exploit multispectral images (i.e., RGB and thermal… (more)

Subjects/Keywords: Robotics – Human factors; Human-robot interaction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Jingjing, 1. (2017). Exploiting multispectral and contextual information to improve human detection. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55564/

Chicago Manual of Style (16th Edition):

Liu, Jingjing, 1985-. “Exploiting multispectral and contextual information to improve human detection.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55564/.

MLA Handbook (7th Edition):

Liu, Jingjing, 1985-. “Exploiting multispectral and contextual information to improve human detection.” 2017. Web. 29 Sep 2020.

Vancouver:

Liu, Jingjing 1. Exploiting multispectral and contextual information to improve human detection. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55564/.

Council of Science Editors:

Liu, Jingjing 1. Exploiting multispectral and contextual information to improve human detection. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55564/


Rutgers University

20. Yu, Kaiyan. Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension.

Degree: PhD, Mechanical and Aerospace Engineering, 2017, Rutgers University

 Automated manipulation of nanowires and nanotubes would enable the scalable manufacturing of nanodevices for a variety of applications. However, two fundamental challenges still remain: (i)… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yu, K. (2017). Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55785/

Chicago Manual of Style (16th Edition):

Yu, Kaiyan. “Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55785/.

MLA Handbook (7th Edition):

Yu, Kaiyan. “Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension.” 2017. Web. 29 Sep 2020.

Vancouver:

Yu K. Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55785/.

Council of Science Editors:

Yu K. Motion control, planning and manipulation of nanowires under electric-fields in fluid suspension. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55785/


Rutgers University

21. Zhu, Yan, 1986-. Towards active and interactive visual learning.

Degree: PhD, Computer Science, 2017, Rutgers University

Modern computer vision models mostly rely on massive human annotated datasets for supervised training. The models are typically learned from the supervision of static datasets… (more)

Subjects/Keywords: Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhu, Yan, 1. (2017). Towards active and interactive visual learning. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55812/

Chicago Manual of Style (16th Edition):

Zhu, Yan, 1986-. “Towards active and interactive visual learning.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55812/.

MLA Handbook (7th Edition):

Zhu, Yan, 1986-. “Towards active and interactive visual learning.” 2017. Web. 29 Sep 2020.

Vancouver:

Zhu, Yan 1. Towards active and interactive visual learning. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55812/.

Council of Science Editors:

Zhu, Yan 1. Towards active and interactive visual learning. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55812/


Rutgers University

22. Kalampratsidou, Vilelmini. Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback.

Degree: PhD, Computer Science, 2018, Rutgers University

 In this work, we present new data-types, analytics, and human-computer interfaces as a platform to enable a new type of co-adaptive-behavioural analyses to track neuroplasticity.… (more)

Subjects/Keywords: Afferent pathways; Human-computer interaction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kalampratsidou, V. (2018). Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57627/

Chicago Manual of Style (16th Edition):

Kalampratsidou, Vilelmini. “Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback.” 2018. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/57627/.

MLA Handbook (7th Edition):

Kalampratsidou, Vilelmini. “Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback.” 2018. Web. 29 Sep 2020.

Vancouver:

Kalampratsidou V. Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57627/.

Council of Science Editors:

Kalampratsidou V. Co-adaptive multimodal interface guided by real-time multisensory stochastic feedback. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57627/

23. Kourtev, Hristiyan, 1982-. A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter.

Degree: MS, Computer Science, 2018, Rutgers University

 Robotic grasping has been an active area of research since the dawn of robotics. With recent advancements in artificial intelligence, vision, planning and machine learning,… (more)

Subjects/Keywords: Robotics; Soft computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kourtev, Hristiyan, 1. (2018). A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/56044/

Chicago Manual of Style (16th Edition):

Kourtev, Hristiyan, 1982-. “A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter.” 2018. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/56044/.

MLA Handbook (7th Edition):

Kourtev, Hristiyan, 1982-. “A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter.” 2018. Web. 29 Sep 2020.

Vancouver:

Kourtev, Hristiyan 1. A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter. [Internet] [Masters thesis]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56044/.

Council of Science Editors:

Kourtev, Hristiyan 1. A robust soft and vacuum hybrid end-effector and compliant arm for picking in clutter. [Masters Thesis]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56044/

24. Rennie, Colin M., 1988-. Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization.

Degree: MS, Computer Science, 2018, Rutgers University

 This thesis presents a framework for developing a library of gaits for highly non-linear, hyper-redundant, potentially compliant robotic systems. Examples of such systems that motivate… (more)

Subjects/Keywords: Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rennie, Colin M., 1. (2018). Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/56083/

Chicago Manual of Style (16th Edition):

Rennie, Colin M., 1988-. “Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization.” 2018. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/56083/.

MLA Handbook (7th Edition):

Rennie, Colin M., 1988-. “Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization.” 2018. Web. 29 Sep 2020.

Vancouver:

Rennie, Colin M. 1. Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization. [Internet] [Masters thesis]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56083/.

Council of Science Editors:

Rennie, Colin M. 1. Designing and learning CPG gaits for spherical tensegrity robots using Bayesian optimization. [Masters Thesis]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56083/

25. Geraci, Fernando, 1985-. Design and implementation of embodied conversational agents.

Degree: MS, Simulation, 2019, Rutgers University

 In less than a decade, virtual assistants had established themselves as very handy natively included components of the main commercial consumer systems available. These, expand… (more)

Subjects/Keywords: Computer Science; Intelligent agents (Computer software)  – Design

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Geraci, Fernando, 1. (2019). Design and implementation of embodied conversational agents. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60727/

Chicago Manual of Style (16th Edition):

Geraci, Fernando, 1985-. “Design and implementation of embodied conversational agents.” 2019. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60727/.

MLA Handbook (7th Edition):

Geraci, Fernando, 1985-. “Design and implementation of embodied conversational agents.” 2019. Web. 29 Sep 2020.

Vancouver:

Geraci, Fernando 1. Design and implementation of embodied conversational agents. [Internet] [Masters thesis]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60727/.

Council of Science Editors:

Geraci, Fernando 1. Design and implementation of embodied conversational agents. [Masters Thesis]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60727/

26. Saleh, Babak, 1987-. A novel framework for understanding atypical images.

Degree: PhD, Computer Science, 2017, Rutgers University

In the past few years, there has been a tremendous amount of progress in the field of computer vision. As of now, we have reliable… (more)

Subjects/Keywords: Machine learning; Computer vision; Image processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saleh, Babak, 1. (2017). A novel framework for understanding atypical images. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/52267/

Chicago Manual of Style (16th Edition):

Saleh, Babak, 1987-. “A novel framework for understanding atypical images.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/52267/.

MLA Handbook (7th Edition):

Saleh, Babak, 1987-. “A novel framework for understanding atypical images.” 2017. Web. 29 Sep 2020.

Vancouver:

Saleh, Babak 1. A novel framework for understanding atypical images. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52267/.

Council of Science Editors:

Saleh, Babak 1. A novel framework for understanding atypical images. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52267/

27. Dobson, Andrew, 1988-. Compact representations for efficient robot motion planning with formal guarantees.

Degree: PhD, Computer Science, 2017, Rutgers University

This work provides compact representations for single- and multi-robot motion planning in the context of prehensile robot manipulation. This work describes the asymptotic near-optimality and… (more)

Subjects/Keywords: Robots – Motion; Robots – Control systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dobson, Andrew, 1. (2017). Compact representations for efficient robot motion planning with formal guarantees. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55459/

Chicago Manual of Style (16th Edition):

Dobson, Andrew, 1988-. “Compact representations for efficient robot motion planning with formal guarantees.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55459/.

MLA Handbook (7th Edition):

Dobson, Andrew, 1988-. “Compact representations for efficient robot motion planning with formal guarantees.” 2017. Web. 29 Sep 2020.

Vancouver:

Dobson, Andrew 1. Compact representations for efficient robot motion planning with formal guarantees. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55459/.

Council of Science Editors:

Dobson, Andrew 1. Compact representations for efficient robot motion planning with formal guarantees. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55459/

28. Krontiris, Athanasios, 1984-. Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator.

Degree: PhD, Computer Science, 2017, Rutgers University

 Rearranging multiple objects is a critical skill for robots so that they can effectively deal with clutter in human spaces. This is a challenging problem… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krontiris, Athanasios, 1. (2017). Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55536/

Chicago Manual of Style (16th Edition):

Krontiris, Athanasios, 1984-. “Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55536/.

MLA Handbook (7th Edition):

Krontiris, Athanasios, 1984-. “Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator.” 2017. Web. 29 Sep 2020.

Vancouver:

Krontiris, Athanasios 1. Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55536/.

Council of Science Editors:

Krontiris, Athanasios 1. Hierarchical frameworks for efficient prehensile rearrangement with a robotic manipulator. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55536/

29. Zhang, Han, 1987-. Generative adversarial networks for image synthesis.

Degree: PhD, Computer Science, 2019, Rutgers University

Image synthesis is an important problem in computer vision and has many applications, such as computer-aided design and photo-editing. There has been remarkable progress in… (more)

Subjects/Keywords: Rendering (Computer graphics)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, Han, 1. (2019). Generative adversarial networks for image synthesis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60115/

Chicago Manual of Style (16th Edition):

Zhang, Han, 1987-. “Generative adversarial networks for image synthesis.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60115/.

MLA Handbook (7th Edition):

Zhang, Han, 1987-. “Generative adversarial networks for image synthesis.” 2019. Web. 29 Sep 2020.

Vancouver:

Zhang, Han 1. Generative adversarial networks for image synthesis. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60115/.

Council of Science Editors:

Zhang, Han 1. Generative adversarial networks for image synthesis. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60115/

30. Dalal, Chintan, 1981-. High-dimensional manifold geostatistics.

Degree: PhD, Computer Science, 2019, Rutgers University

An understanding of the Earth's climate system benefits all sectors of the economy and environment. Several challenges faced when modeling the Earth's climate system include:… (more)

Subjects/Keywords: Geology  – Statistical methods

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dalal, Chintan, 1. (2019). High-dimensional manifold geostatistics. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60136/

Chicago Manual of Style (16th Edition):

Dalal, Chintan, 1981-. “High-dimensional manifold geostatistics.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60136/.

MLA Handbook (7th Edition):

Dalal, Chintan, 1981-. “High-dimensional manifold geostatistics.” 2019. Web. 29 Sep 2020.

Vancouver:

Dalal, Chintan 1. High-dimensional manifold geostatistics. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60136/.

Council of Science Editors:

Dalal, Chintan 1. High-dimensional manifold geostatistics. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60136/

[1] [2]

.