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You searched for +publisher:"Virginia Tech" +contributor:("Tokekar, Pratap"). Showing records 1 – 30 of 44 total matches.

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Virginia Tech

1. Budhiraja, Ashish Kumar. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 We study the problem of viewpoint planning in static and dynamic scenes using multi-robot teams. This work is motivated by two applications: bridge inspection and… (more)

Subjects/Keywords: Multi-Robot Coordination; Traveling Salesman Problem; Target Tracking

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APA (6th Edition):

Budhiraja, A. K. (2017). View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78807

Chicago Manual of Style (16th Edition):

Budhiraja, Ashish Kumar. “View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78807.

MLA Handbook (7th Edition):

Budhiraja, Ashish Kumar. “View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams.” 2017. Web. 29 Oct 2020.

Vancouver:

Budhiraja AK. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78807.

Council of Science Editors:

Budhiraja AK. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78807


Virginia Tech

2. Abedi, Milad. Directional Airflow for HVAC Systems.

Degree: MS, Civil Engineering, 2019, Virginia Tech

 The notion of adjustable direction of airflow has been used in the car industry and airplanes for decades, enabling the users to manually adjust the… (more)

Subjects/Keywords: HVAC; Thermal Comfort; Reinforcement Learning; Building Energy Consumption

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APA (6th Edition):

Abedi, M. (2019). Directional Airflow for HVAC Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88524

Chicago Manual of Style (16th Edition):

Abedi, Milad. “Directional Airflow for HVAC Systems.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/88524.

MLA Handbook (7th Edition):

Abedi, Milad. “Directional Airflow for HVAC Systems.” 2019. Web. 29 Oct 2020.

Vancouver:

Abedi M. Directional Airflow for HVAC Systems. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/88524.

Council of Science Editors:

Abedi M. Directional Airflow for HVAC Systems. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/88524


Virginia Tech

3. Ngo, Khai Thoi. Stacking Ensemble for auto_ml.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 Machine learning has been a subject undergoing intense study across many different industries and academic research areas. Companies and researchers have taken full advantages of… (more)

Subjects/Keywords: Machine Learning; Stacking Ensemble; Model Selection; Hyper-parameter optimization; auto_ml

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APA (6th Edition):

Ngo, K. T. (2018). Stacking Ensemble for auto_ml. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83547

Chicago Manual of Style (16th Edition):

Ngo, Khai Thoi. “Stacking Ensemble for auto_ml.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/83547.

MLA Handbook (7th Edition):

Ngo, Khai Thoi. “Stacking Ensemble for auto_ml.” 2018. Web. 29 Oct 2020.

Vancouver:

Ngo KT. Stacking Ensemble for auto_ml. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/83547.

Council of Science Editors:

Ngo KT. Stacking Ensemble for auto_ml. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83547


Virginia Tech

4. Bhal, Siddharth. Fog computing for robotics system with adaptive task allocation.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 The evolution of cloud computing has finally started to affect robotics. Indeed, there have been several real-time cloud applications making their way into robotics as… (more)

Subjects/Keywords: cloud robotics; fog computing; task allocation; multi-robot systems

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APA (6th Edition):

Bhal, S. (2017). Fog computing for robotics system with adaptive task allocation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78723

Chicago Manual of Style (16th Edition):

Bhal, Siddharth. “Fog computing for robotics system with adaptive task allocation.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78723.

MLA Handbook (7th Edition):

Bhal, Siddharth. “Fog computing for robotics system with adaptive task allocation.” 2017. Web. 29 Oct 2020.

Vancouver:

Bhal S. Fog computing for robotics system with adaptive task allocation. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78723.

Council of Science Editors:

Bhal S. Fog computing for robotics system with adaptive task allocation. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78723


Virginia Tech

5. Modi, Rishit Bipinkumar. Control-Oriented Thermal Model for a Hybrid Vehicle Battery.

Degree: MS, Mechanical Engineering, 2020, Virginia Tech

 In a bid to reduce vehicular emissions, automobile manufacturers are moving towards electric and hybrid vehicles. Most hybrid vehicles have an energy storage system in… (more)

Subjects/Keywords: Lithium-ion batteries; heat transfer; thermal model

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APA (6th Edition):

Modi, R. B. (2020). Control-Oriented Thermal Model for a Hybrid Vehicle Battery. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98661

Chicago Manual of Style (16th Edition):

Modi, Rishit Bipinkumar. “Control-Oriented Thermal Model for a Hybrid Vehicle Battery.” 2020. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/98661.

MLA Handbook (7th Edition):

Modi, Rishit Bipinkumar. “Control-Oriented Thermal Model for a Hybrid Vehicle Battery.” 2020. Web. 29 Oct 2020.

Vancouver:

Modi RB. Control-Oriented Thermal Model for a Hybrid Vehicle Battery. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/98661.

Council of Science Editors:

Modi RB. Control-Oriented Thermal Model for a Hybrid Vehicle Battery. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98661


Virginia Tech

6. Mangette, Clayton John. Perception and Planning of Connected and Automated Vehicles.

Degree: MS, Electrical Engineering, 2020, Virginia Tech

 Connected and Automated Vehicles are an emerging area of research that involve integrating computational components to enable autonomous driving. This work considers two of the… (more)

Subjects/Keywords: sensor fusion; multi-target tracking; multi-robot planning; motion planning

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APA (6th Edition):

Mangette, C. J. (2020). Perception and Planning of Connected and Automated Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98812

Chicago Manual of Style (16th Edition):

Mangette, Clayton John. “Perception and Planning of Connected and Automated Vehicles.” 2020. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/98812.

MLA Handbook (7th Edition):

Mangette, Clayton John. “Perception and Planning of Connected and Automated Vehicles.” 2020. Web. 29 Oct 2020.

Vancouver:

Mangette CJ. Perception and Planning of Connected and Automated Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/98812.

Council of Science Editors:

Mangette CJ. Perception and Planning of Connected and Automated Vehicles. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98812


Virginia Tech

7. Su, Shih-Yang. Learning to handle occlusion for motion analysis and view synthesis.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 Human has the ability to understand occlusion, and make use of such knowledge to make predictions about motions and occluded contents. For example, when we… (more)

Subjects/Keywords: Motion Analysis; View Synthesis; Deep Learning

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APA (6th Edition):

Su, S. (2020). Learning to handle occlusion for motion analysis and view synthesis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98620

Chicago Manual of Style (16th Edition):

Su, Shih-Yang. “Learning to handle occlusion for motion analysis and view synthesis.” 2020. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/98620.

MLA Handbook (7th Edition):

Su, Shih-Yang. “Learning to handle occlusion for motion analysis and view synthesis.” 2020. Web. 29 Oct 2020.

Vancouver:

Su S. Learning to handle occlusion for motion analysis and view synthesis. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/98620.

Council of Science Editors:

Su S. Learning to handle occlusion for motion analysis and view synthesis. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98620

8. Nogales, Chris Lorena. Robot Autonomous Fire Location using a Weighted Probability Algorithm.

Degree: MS, Computer Engineering, 2016, Virginia Tech

 Finding a fire inside of a structure without knowing its conditions poses a dangerous threat to the safety of firefighters. As a result, robots are… (more)

Subjects/Keywords: autonomy; perception; machine learning; firefighting robot

Page 1

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APA (6th Edition):

Nogales, C. L. (2016). Robot Autonomous Fire Location using a Weighted Probability Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73360

Chicago Manual of Style (16th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/73360.

MLA Handbook (7th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Web. 29 Oct 2020.

Vancouver:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/73360.

Council of Science Editors:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73360


Virginia Tech

9. Mahajan, Rutvij Sanjay. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 The k–server problem is of significant importance to the theoretical computer science and the operations research community. In this problem, we are given k servers,… (more)

Subjects/Keywords: k-Server Problem; Work Function Algorithm; Bipartite Matching; Assignment Problem

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APA (6th Edition):

Mahajan, R. S. (2018). Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/96725

Chicago Manual of Style (16th Edition):

Mahajan, Rutvij Sanjay. “Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/96725.

MLA Handbook (7th Edition):

Mahajan, Rutvij Sanjay. “Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems.” 2018. Web. 29 Oct 2020.

Vancouver:

Mahajan RS. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/96725.

Council of Science Editors:

Mahajan RS. Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/96725


Virginia Tech

10. Yellapantula, Sudha Ravali. Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 In the recent years, technologies like Deep Learning and Machine Learning have seen many rapid developments. Among the many applications they have, object detection is… (more)

Subjects/Keywords: GANs; Deep Learning; Object Detection

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APA (6th Edition):

Yellapantula, S. R. (2019). Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91460

Chicago Manual of Style (16th Edition):

Yellapantula, Sudha Ravali. “Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/91460.

MLA Handbook (7th Edition):

Yellapantula, Sudha Ravali. “Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection.” 2019. Web. 29 Oct 2020.

Vancouver:

Yellapantula SR. Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/91460.

Council of Science Editors:

Yellapantula SR. Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91460


Virginia Tech

11. Gerhard, William Edward III. Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 Radio direction finding uses specialized radio equipment to determine the direction that a radio signal is coming from. Commercial systems are often expense, and existing… (more)

Subjects/Keywords: Radio Direction Finding; Pseudo Doppler Direction Finding; UAS; Wildlife Tracking

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APA (6th Edition):

Gerhard, W. E. I. (2019). Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/92199

Chicago Manual of Style (16th Edition):

Gerhard, William Edward III. “Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/92199.

MLA Handbook (7th Edition):

Gerhard, William Edward III. “Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS.” 2019. Web. 29 Oct 2020.

Vancouver:

Gerhard WEI. Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/92199.

Council of Science Editors:

Gerhard WEI. Pseudo Doppler Direction Finding System for Localizing Non-Cooperative VHF Transmitters with a Hybrid UAS. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/92199


Virginia Tech

12. Arefiyan Khalilabad, Seyyed Mostafa. Deep Learning Models for Context-Aware Object Detection.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 In this thesis, we present ContextNet, a novel general object detection framework for incorporating context cues into a detection pipeline. Current deep learning methods for… (more)

Subjects/Keywords: Context-aware Detection; Object Detection; Context Modeling; Context Extraction; Convolutional Neural Network; Computer Vision; Deep Learning; Machine Learning

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APA (6th Edition):

Arefiyan Khalilabad, S. M. (2017). Deep Learning Models for Context-Aware Object Detection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88387

Chicago Manual of Style (16th Edition):

Arefiyan Khalilabad, Seyyed Mostafa. “Deep Learning Models for Context-Aware Object Detection.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/88387.

MLA Handbook (7th Edition):

Arefiyan Khalilabad, Seyyed Mostafa. “Deep Learning Models for Context-Aware Object Detection.” 2017. Web. 29 Oct 2020.

Vancouver:

Arefiyan Khalilabad SM. Deep Learning Models for Context-Aware Object Detection. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/88387.

Council of Science Editors:

Arefiyan Khalilabad SM. Deep Learning Models for Context-Aware Object Detection. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/88387


Virginia Tech

13. AlBahar, Badour A Sh A. Im2Vid: Future Video Prediction for Static Image Action Recognition.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 Static image action recognition aims at identifying the action performed in a given image. Most existing static image action recognition approaches use high-level cues present… (more)

Subjects/Keywords: Human Action Recognition; Static Image Action Recognition; Video Action Recognition; Future Video Prediction

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APA (6th Edition):

AlBahar, B. A. S. A. (2018). Im2Vid: Future Video Prediction for Static Image Action Recognition. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83602

Chicago Manual of Style (16th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/83602.

MLA Handbook (7th Edition):

AlBahar, Badour A Sh A. “Im2Vid: Future Video Prediction for Static Image Action Recognition.” 2018. Web. 29 Oct 2020.

Vancouver:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/83602.

Council of Science Editors:

AlBahar BASA. Im2Vid: Future Video Prediction for Static Image Action Recognition. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83602


Virginia Tech

14. Chowdhary, Abhilash. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 Navigation of autonomous underwater vehicles (AUVs) in the subsea environment is particularly challenging due to the unavailability of GPS because of rapid attenuation of electromagnetic… (more)

Subjects/Keywords: Autonomous Underwater Vehicles; Navigation; Gaussian Processes

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APA (6th Edition):

Chowdhary, A. (2017). Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78278

Chicago Manual of Style (16th Edition):

Chowdhary, Abhilash. “Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78278.

MLA Handbook (7th Edition):

Chowdhary, Abhilash. “Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes.” 2017. Web. 29 Oct 2020.

Vancouver:

Chowdhary A. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78278.

Council of Science Editors:

Chowdhary A. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78278


Virginia Tech

15. Gunjal, Abhinav Shivram. Trusted Software Updates for Secure Enclaves in Industrial Control Systems.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 Industrial Control Systems (ICSs) manage critical infrastructures such as water treatment facilities, petroleum refineries, and power plants. ICSs are networked through Information Technology (IT) infrastructure… (more)

Subjects/Keywords: Industrial control systems; programmable logic controller; industrial control systems security; secure enclaves; software updates; configurable system-on-chip

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APA (6th Edition):

Gunjal, A. S. (2017). Trusted Software Updates for Secure Enclaves in Industrial Control Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79130

Chicago Manual of Style (16th Edition):

Gunjal, Abhinav Shivram. “Trusted Software Updates for Secure Enclaves in Industrial Control Systems.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/79130.

MLA Handbook (7th Edition):

Gunjal, Abhinav Shivram. “Trusted Software Updates for Secure Enclaves in Industrial Control Systems.” 2017. Web. 29 Oct 2020.

Vancouver:

Gunjal AS. Trusted Software Updates for Secure Enclaves in Industrial Control Systems. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/79130.

Council of Science Editors:

Gunjal AS. Trusted Software Updates for Secure Enclaves in Industrial Control Systems. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79130


Virginia Tech

16. Suryan, Varun. Learning a Spatial Field in Minimum Time with a Team of Robots.

Degree: M. S., Computer Engineering, 2018, Virginia Tech

 We solve the problem of measuring a physical phenomenon accurately using a team of robots in minimum time. Examples of such phenomena include the amount… (more)

Subjects/Keywords: Sensor Placement; Informative Path Planning; Gaussian Processes

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APA (6th Edition):

Suryan, V. (2018). Learning a Spatial Field in Minimum Time with a Team of Robots. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93735

Chicago Manual of Style (16th Edition):

Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/93735.

MLA Handbook (7th Edition):

Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Web. 29 Oct 2020.

Vancouver:

Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/93735.

Council of Science Editors:

Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/93735

17. Shah, Shriya. Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons.

Degree: MS, Electrical Engineering, 2017, Virginia Tech

 Embedded systems for humanoid robots are required to be reliable, low in cost, scalable and robust. Most of the applications related to humanoid robots require… (more)

Subjects/Keywords: Embedded Systems; RTOS; Series Elastic Actuator; Exoskeleton; Humanoid Robot

…Design 94 ix List of Figures 1.1 Figure shows ESCHER humanoid robot of Virginia Tech in… …THOR and ESCHER built at Virginia Tech . . . . . . . . . . . . . . . . . . 9 3.4 Control… …several humanoid robots. 1 2 Figure 1.1: Figure shows ESCHER humanoid robot of Virginia Tech… …Laboratory at Virginia Tech. These robots use Series Elastic Actuators [9] which are… …Virginia Tech [4]. Figure 3.1 shows the electronic architecture for the exoskeleton… 

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APA (6th Edition):

Shah, S. (2017). Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78734

Chicago Manual of Style (16th Edition):

Shah, Shriya. “Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78734.

MLA Handbook (7th Edition):

Shah, Shriya. “Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons.” 2017. Web. 29 Oct 2020.

Vancouver:

Shah S. Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78734.

Council of Science Editors:

Shah S. Design and Implementation of a Scalable Real-Time Motor Controller Architecture for Humanoid Robots and Exoskeletons. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78734

18. Gondhalekar, Nahush Ramesh. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 We study the problem of Reinforcement Learning (RL) for Unmanned Aerial Vehicle (UAV) navigation with the smallest number of real world samples possible. This work… (more)

Subjects/Keywords: Reinforcement Learning; Gaussian Processes; Unmanned Aerial Vehicle Navigation

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APA (6th Edition):

Gondhalekar, N. R. (2017). Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78667

Chicago Manual of Style (16th Edition):

Gondhalekar, Nahush Ramesh. “Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78667.

MLA Handbook (7th Edition):

Gondhalekar, Nahush Ramesh. “Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation.” 2017. Web. 29 Oct 2020.

Vancouver:

Gondhalekar NR. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78667.

Council of Science Editors:

Gondhalekar NR. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78667

19. Bangalore Narendranath Rao, Amith Kaushal. Online Message Delay Prediction for Model Predictive Control over Controller Area Network.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 Today's Cyber-Physical Systems (CPS) are typically distributed over several computing nodes communicating by way of shared buses such as Controller Area Network (CAN). Their control… (more)

Subjects/Keywords: Model Predictive Control (MPC); Controller Area Network (CAN); Online delay prediction; delay

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APA (6th Edition):

Bangalore Narendranath Rao, A. K. (2017). Online Message Delay Prediction for Model Predictive Control over Controller Area Network. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78626

Chicago Manual of Style (16th Edition):

Bangalore Narendranath Rao, Amith Kaushal. “Online Message Delay Prediction for Model Predictive Control over Controller Area Network.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78626.

MLA Handbook (7th Edition):

Bangalore Narendranath Rao, Amith Kaushal. “Online Message Delay Prediction for Model Predictive Control over Controller Area Network.” 2017. Web. 29 Oct 2020.

Vancouver:

Bangalore Narendranath Rao AK. Online Message Delay Prediction for Model Predictive Control over Controller Area Network. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78626.

Council of Science Editors:

Bangalore Narendranath Rao AK. Online Message Delay Prediction for Model Predictive Control over Controller Area Network. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78626

20. Donnelly, James Joseph. Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection.

Degree: MS, Mechanical Engineering, 2019, Virginia Tech

 Visual perception has been a significant subject matter of robotics research for decades but has accelerated in recent years as both technology and community are… (more)

Subjects/Keywords: UAV; Stereo Vision; 3D Reconstruction; Mapping

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APA (6th Edition):

Donnelly, J. J. (2019). Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/95852

Chicago Manual of Style (16th Edition):

Donnelly, James Joseph. “Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/95852.

MLA Handbook (7th Edition):

Donnelly, James Joseph. “Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection.” 2019. Web. 29 Oct 2020.

Vancouver:

Donnelly JJ. Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/95852.

Council of Science Editors:

Donnelly JJ. Semi-Dense Stereo Reconstruction from Aerial Imagery for Improved Obstacle Detection. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/95852

21. Nagabushan, Naresh. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 Brain-Computer Interfaces (BCIs) as the name suggests allows individuals to interact with computers using electrical activity captured from different regions of the brain. These devices… (more)

Subjects/Keywords: Brain-Computer-Interface; iEEG; EEG; Classification

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APA (6th Edition):

Nagabushan, N. (2019). Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90183

Chicago Manual of Style (16th Edition):

Nagabushan, Naresh. “Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/90183.

MLA Handbook (7th Edition):

Nagabushan, Naresh. “Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications.” 2019. Web. 29 Oct 2020.

Vancouver:

Nagabushan N. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/90183.

Council of Science Editors:

Nagabushan N. Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90183

22. Premkumar, Aravind Preshant. Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments.

Degree: MS, Computer Engineering, 2017, Virginia Tech

 We present an algorithm to explore an orthogonal polygon using a team of p robots. This algorithm combines ideas from information-theoretic exploration algorithms and computational… (more)

Subjects/Keywords: Robotics; Multi-robot Exploration

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APA (6th Edition):

Premkumar, A. P. (2017). Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78847

Chicago Manual of Style (16th Edition):

Premkumar, Aravind Preshant. “Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78847.

MLA Handbook (7th Edition):

Premkumar, Aravind Preshant. “Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments.” 2017. Web. 29 Oct 2020.

Vancouver:

Premkumar AP. Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78847.

Council of Science Editors:

Premkumar AP. Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78847

23. Cangan, Barnabas Gavin. Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 Our goal is to assist human searchers using autonomous aerial vehicles in search and rescue scenarios associated with missing person incidents. We formulate a lost… (more)

Subjects/Keywords: Search and Rescue; Informative path planning; Multi-agent path planning; Gaussian process; Limited field-of-view; Gibbs' kernel

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APA (6th Edition):

Cangan, B. G. (2019). Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91444

Chicago Manual of Style (16th Edition):

Cangan, Barnabas Gavin. “Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/91444.

MLA Handbook (7th Edition):

Cangan, Barnabas Gavin. “Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue.” 2019. Web. 29 Oct 2020.

Vancouver:

Cangan BG. Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/91444.

Council of Science Editors:

Cangan BG. Risk-Aware Human-In-The-Loop Multi-Robot Path Planning for Lost Person Search and Rescue. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91444

24. Yu, Kevin L. Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 Commercially available Unmanned Aerial Vehicles (UAVs), especially multi-rotor aircrafts, have a flight time of less than 30 minutes. However many UAV applications, such as surveillance,… (more)

Subjects/Keywords: Multi-Robot Systems; Path Planning for Multiple Mobile Robots or Agents; Aerial Systems: Applications

…out preliminary testing of delivery package (burritos) using UAVs on the Virginia… …Tech campus. It is envisioned that UAVs can pick up packages from a van and carry out the… 

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APA (6th Edition):

Yu, K. L. (2018). Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83493

Chicago Manual of Style (16th Edition):

Yu, Kevin L. “Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/83493.

MLA Handbook (7th Edition):

Yu, Kevin L. “Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations.” 2018. Web. 29 Oct 2020.

Vancouver:

Yu KL. Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/83493.

Council of Science Editors:

Yu KL. Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83493

25. Dhami, Harnaik Singh. Using UAV Mounted LiDAR to Estimate Plant Height and Growth.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 Plant height estimation and measurement is a vital task when it comes to farming. Knowing these characteristics help determine whether the plants are growing healthy… (more)

Subjects/Keywords: LiDAR; Plant Height Estimation; Plot Detection; K-means; PrecisionAgriculture

…frame. Next, a 3D frame and brackets were printed by the Virginia Tech Laboratory for… …in 3 main locations. The Drone Cage at Virginia Tech provided a quick location to test out… 

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APA (6th Edition):

Dhami, H. S. (2019). Using UAV Mounted LiDAR to Estimate Plant Height and Growth. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93513

Chicago Manual of Style (16th Edition):

Dhami, Harnaik Singh. “Using UAV Mounted LiDAR to Estimate Plant Height and Growth.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/93513.

MLA Handbook (7th Edition):

Dhami, Harnaik Singh. “Using UAV Mounted LiDAR to Estimate Plant Height and Growth.” 2019. Web. 29 Oct 2020.

Vancouver:

Dhami HS. Using UAV Mounted LiDAR to Estimate Plant Height and Growth. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/93513.

Council of Science Editors:

Dhami HS. Using UAV Mounted LiDAR to Estimate Plant Height and Growth. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93513

26. Wagner, Anthony Julian. Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration.

Degree: MS, Mechanical Engineering, 2019, Virginia Tech

 This work presents a framework for the exploration and path planning for a collaborative aerial and ground vehicle robotic system. The system is composed of… (more)

Subjects/Keywords: UAV; UGV; Exploration; RRT

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APA (6th Edition):

Wagner, A. J. (2019). Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90785

Chicago Manual of Style (16th Edition):

Wagner, Anthony Julian. “Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/90785.

MLA Handbook (7th Edition):

Wagner, Anthony Julian. “Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration.” 2019. Web. 29 Oct 2020.

Vancouver:

Wagner AJ. Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/90785.

Council of Science Editors:

Wagner AJ. Online Unmanned Ground Vehicle Mission Planning using Active Aerial Vehicle Exploration. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90785

27. Kashyap, Aditya. Computationally Efficient Methods for Detection and Localization of a Chirp Signal.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 As humans, we rely on our sense of hearing to help us interact with the outside world. It helps us to listen not just to… (more)

Subjects/Keywords: Microphone Array; Chirp Detection and Localization; Computationally Efficient

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APA (6th Edition):

Kashyap, A. (2019). Computationally Efficient Methods for Detection and Localization of a Chirp Signal. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87586

Chicago Manual of Style (16th Edition):

Kashyap, Aditya. “Computationally Efficient Methods for Detection and Localization of a Chirp Signal.” 2019. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/87586.

MLA Handbook (7th Edition):

Kashyap, Aditya. “Computationally Efficient Methods for Detection and Localization of a Chirp Signal.” 2019. Web. 29 Oct 2020.

Vancouver:

Kashyap A. Computationally Efficient Methods for Detection and Localization of a Chirp Signal. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/87586.

Council of Science Editors:

Kashyap A. Computationally Efficient Methods for Detection and Localization of a Chirp Signal. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/87586

28. Ridgewell, Cameron Patrick. Humanoid Robot Friction Estimation in Multi-Contact Scenarios.

Degree: MS, Mechanical Engineering, 2017, Virginia Tech

 This paper will present an online approach for friction approximation to be utilized in con- cert with whole body control on humanoid robots. This approach… (more)

Subjects/Keywords: Robotics; Friction; Humanoids; Whole Body Control

…the Virginia Tech Terrestrial Robotics Engineering and Controls Laboratory (TREC)… …environment. Using the knowledge gained by the development of the THOR humanoid, the Virginia Tech… …Virginia Tech humanoids THOR and ESCHER, and any other platform capable of utilizing the ASGARD… …bipedal walking generation at Virginia Tech, the introduction of the Capture Point (CP)… …controllers, with a focus on those aspects that specifically pertain to the Virginia Tech model, the… 

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APA (6th Edition):

Ridgewell, C. P. (2017). Humanoid Robot Friction Estimation in Multi-Contact Scenarios. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78716

Chicago Manual of Style (16th Edition):

Ridgewell, Cameron Patrick. “Humanoid Robot Friction Estimation in Multi-Contact Scenarios.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/78716.

MLA Handbook (7th Edition):

Ridgewell, Cameron Patrick. “Humanoid Robot Friction Estimation in Multi-Contact Scenarios.” 2017. Web. 29 Oct 2020.

Vancouver:

Ridgewell CP. Humanoid Robot Friction Estimation in Multi-Contact Scenarios. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/78716.

Council of Science Editors:

Ridgewell CP. Humanoid Robot Friction Estimation in Multi-Contact Scenarios. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78716

29. Toubeh, Maymoonah I. Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 Deep learning (DL) is the phrase used to refer to the use of large hierarchical structures, often called neural networks, to approximate semantic information from… (more)

Subjects/Keywords: Risk-Aware Planning; Uncertainty Approximation; Deep Learning

…Farms at Virginia Tech, and it is labeled with 2.2. A* Planner 21 only four of the ground… 

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APA (6th Edition):

Toubeh, M. I. (2018). Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86884

Chicago Manual of Style (16th Edition):

Toubeh, Maymoonah I. “Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception.” 2018. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/86884.

MLA Handbook (7th Edition):

Toubeh, Maymoonah I. “Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception.” 2018. Web. 29 Oct 2020.

Vancouver:

Toubeh MI. Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/86884.

Council of Science Editors:

Toubeh MI. Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/86884

30. Sinha, Koel. Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods.

Degree: MS, Electrical Engineering, 2017, Virginia Tech

 This work focuses on path planning for an autonomous UAV to tour and cover multiple regions in the shortest time. The three challenges to be… (more)

Subjects/Keywords: Path Planning; Robotics; UAV; Crop Spraying; Agriculture; TSP; DIjkstra; Coverage path planning; Shortest-time; Touring; Arc-Routing

…Unmanned Systems Lab at Virginia Tech. Figure 5.9 (a) is the image used for weed… 

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APA (6th Edition):

Sinha, K. (2017). Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79731

Chicago Manual of Style (16th Edition):

Sinha, Koel. “Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods.” 2017. Masters Thesis, Virginia Tech. Accessed October 29, 2020. http://hdl.handle.net/10919/79731.

MLA Handbook (7th Edition):

Sinha, Koel. “Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods.” 2017. Web. 29 Oct 2020.

Vancouver:

Sinha K. Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/10919/79731.

Council of Science Editors:

Sinha K. Path Planning for a UAV in an Agricultural Environment to Tour and Cover Multiple Neighborhoods. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79731

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