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:"Virginia Tech" +contributor:("Williams, Ryan K."). Showing records 1 – 29 of 29 total matches.

Search Limiters

Last 2 Years | English Only

▼ Search Limiters


Virginia Tech

1. Patnayak, Chinmaya. Distributed Intelligence for Multi-Agent Systems in Search and Rescue.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 Unfavorable environmental and (or) human displacement may engender the need for Search and Rescue (SAR). Challenges such as inaccessibility, large search areas, and heavy reliance… (more)

Subjects/Keywords: Distributed Computing; Multi-Agent Systems; Search and Rescue; Unmanned Aerial Vehicles; Deep Learning; Inference

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Patnayak, C. (2020). Distributed Intelligence for Multi-Agent Systems in Search and Rescue. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/100796

Chicago Manual of Style (16th Edition):

Patnayak, Chinmaya. “Distributed Intelligence for Multi-Agent Systems in Search and Rescue.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/100796.

MLA Handbook (7th Edition):

Patnayak, Chinmaya. “Distributed Intelligence for Multi-Agent Systems in Search and Rescue.” 2020. Web. 14 Apr 2021.

Vancouver:

Patnayak C. Distributed Intelligence for Multi-Agent Systems in Search and Rescue. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/100796.

Council of Science Editors:

Patnayak C. Distributed Intelligence for Multi-Agent Systems in Search and Rescue. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/100796


Virginia Tech

2. Long, Zihao. Directional Perception of Force in a Virtual Reality Environment.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 In recent years, robots combined with teleoperation, operating in a remote safe environment, has become a popular choice for replacing human workers in dangerous environments.… (more)

Subjects/Keywords: Force perception; directional accuracy; virtual reality; teleoperation; hapticfeedback; force feedback

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Long, Z. (2020). Directional Perception of Force in a Virtual Reality Environment. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98005

Chicago Manual of Style (16th Edition):

Long, Zihao. “Directional Perception of Force in a Virtual Reality Environment.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/98005.

MLA Handbook (7th Edition):

Long, Zihao. “Directional Perception of Force in a Virtual Reality Environment.” 2020. Web. 14 Apr 2021.

Vancouver:

Long Z. Directional Perception of Force in a Virtual Reality Environment. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/98005.

Council of Science Editors:

Long Z. Directional Perception of Force in a Virtual Reality Environment. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98005


Virginia Tech

3. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. 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. 14 Apr 2021.

Vancouver:

Budhiraja AK. View Point Planning for Inspecting Static and Dynamic Scenes with Multi-Robot Teams. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Apr 14]. 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

4. Kumar, Prashant. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 This thesis presents online 3D reconstruction and ground segmentation using unmanned aerial vehicle (UAV) based stereo vision. For this purpose, a long baseline stereo vision… (more)

Subjects/Keywords: Stereo Vision System; 3D Reconstruction; Stereo Calibration; Feature Matching; Filtering; Noise Removal

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kumar, P. (2018). Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98009

Chicago Manual of Style (16th Edition):

Kumar, Prashant. “Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.” 2018. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/98009.

MLA Handbook (7th Edition):

Kumar, Prashant. “Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.” 2018. Web. 14 Apr 2021.

Vancouver:

Kumar P. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/98009.

Council of Science Editors:

Kumar P. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/98009


Virginia Tech

5. Mohr, Hannah Dornath. Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 In this project, a new method for locating a target using a swarm of unmanned drones in an unknown environment is developed and demonstrated. The… (more)

Subjects/Keywords: target locating; obstacle avoidance; multi-agent; swarming; UAV

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mohr, H. D. (2019). Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89525

Chicago Manual of Style (16th Edition):

Mohr, Hannah Dornath. “Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles.” 2019. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/89525.

MLA Handbook (7th Edition):

Mohr, Hannah Dornath. “Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles.” 2019. Web. 14 Apr 2021.

Vancouver:

Mohr HD. Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/89525.

Council of Science Editors:

Mohr HD. Target Locating in Unknown Environments Using Distributed Autonomous Coordination of Aerial Vehicles. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89525


Virginia Tech

6. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. http://hdl.handle.net/10919/78723.

MLA Handbook (7th Edition):

Bhal, Siddharth. “Fog computing for robotics system with adaptive task allocation.” 2017. Web. 14 Apr 2021.

Vancouver:

Bhal S. Fog computing for robotics system with adaptive task allocation. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Apr 14]. 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

7. Malik, Akshat. Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 Advances in smartphone technology has led major consumer and commercial unmanned aircraft system (UAS) manufacturers to provide users with the feature to fly the UAS… (more)

Subjects/Keywords: Android; UAS; data exfiltration

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Malik, A. (2019). Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/92874

Chicago Manual of Style (16th Edition):

Malik, Akshat. “Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications.” 2019. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/92874.

MLA Handbook (7th Edition):

Malik, Akshat. “Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications.” 2019. Web. 14 Apr 2021.

Vancouver:

Malik A. Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/92874.

Council of Science Editors:

Malik A. Monitoring and Preventing Data Exfiltration in Android-hosted Unmanned Aircraft System Applications. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/92874


Virginia Tech

8. Chourey, Shivam. Cooperative human-robot search in a partially-known environment using multiple UAVs.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 This thesis details out the work focused on developing a system capable of conducting search operation in an environment where prior information has been rendered… (more)

Subjects/Keywords: UAVs; Cooperative Search; Path planning; Human-Robot cooperation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chourey, S. (2020). Cooperative human-robot search in a partially-known environment using multiple UAVs. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99870

Chicago Manual of Style (16th Edition):

Chourey, Shivam. “Cooperative human-robot search in a partially-known environment using multiple UAVs.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/99870.

MLA Handbook (7th Edition):

Chourey, Shivam. “Cooperative human-robot search in a partially-known environment using multiple UAVs.” 2020. Web. 14 Apr 2021.

Vancouver:

Chourey S. Cooperative human-robot search in a partially-known environment using multiple UAVs. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/99870.

Council of Science Editors:

Chourey S. Cooperative human-robot search in a partially-known environment using multiple UAVs. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99870


Virginia Tech

9. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. http://hdl.handle.net/10919/98812.

MLA Handbook (7th Edition):

Mangette, Clayton John. “Perception and Planning of Connected and Automated Vehicles.” 2020. Web. 14 Apr 2021.

Vancouver:

Mangette CJ. Perception and Planning of Connected and Automated Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. 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

10. Gaopande, Meghana Laxmidhar. Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 Neural networks are being employed in many different real-world applications. By learning the complex relationship between the input data and ground-truth output data during the… (more)

Subjects/Keywords: Deep Neural Networks; Quantization; Pruning; Fixed-Point

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gaopande, M. L. (2020). Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98617

Chicago Manual of Style (16th Edition):

Gaopande, Meghana Laxmidhar. “Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/98617.

MLA Handbook (7th Edition):

Gaopande, Meghana Laxmidhar. “Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks.” 2020. Web. 14 Apr 2021.

Vancouver:

Gaopande ML. Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/98617.

Council of Science Editors:

Gaopande ML. Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98617


Virginia Tech

11. Gundu, Pavan Kumar. Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 A risen research effort in the area of autonomous vehicles has been witnessed in the past few decades because these systems improve safety, comfort, transport… (more)

Subjects/Keywords: Q-Learning; Autonomous Driving; Intermittent Protocols; Platooning; String Stability

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gundu, P. K. (2019). Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93213

Chicago Manual of Style (16th Edition):

Gundu, Pavan Kumar. “Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm.” 2019. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/93213.

MLA Handbook (7th Edition):

Gundu, Pavan Kumar. “Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm.” 2019. Web. 14 Apr 2021.

Vancouver:

Gundu PK. Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/93213.

Council of Science Editors:

Gundu PK. Trajectory Tracking Control of Unmanned Ground Vehicles using an Intermittent Learning Algorithm. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93213


Virginia Tech

12. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. 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. 14 Apr 2021.

Vancouver:

Yellapantula SR. Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. 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

13. Manjunatha Bharadwaj, Sandhya. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 This work aims to develop an automated deep learning model for identifying and estimating the composition of the different land covers in a region using… (more)

Subjects/Keywords: Deep Learning; Autoencoder; Land Cover; Hyperspectral Imagery; Spectral Unmixing; Reflectance Spectra

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Manjunatha Bharadwaj, S. (2020). Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99861

Chicago Manual of Style (16th Edition):

Manjunatha Bharadwaj, Sandhya. “Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/99861.

MLA Handbook (7th Edition):

Manjunatha Bharadwaj, Sandhya. “Land Cover Quantification using Autoencoder based Unsupervised Deep Learning.” 2020. Web. 14 Apr 2021.

Vancouver:

Manjunatha Bharadwaj S. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/99861.

Council of Science Editors:

Manjunatha Bharadwaj S. Land Cover Quantification using Autoencoder based Unsupervised Deep Learning. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99861


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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. 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. 14 Apr 2021.

Vancouver:

Chowdhary A. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 Apr 14]. 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. Arechiga, Austin Podoll. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 Neural Networks have proven themselves very adept at solving a wide variety of problems, in particular they accel at image processing. However, it remains unknown… (more)

Subjects/Keywords: Machine Learning; Fault Tolerance; Single Event Upsets

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Arechiga, A. P. (2018). Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84527

Chicago Manual of Style (16th Edition):

Arechiga, Austin Podoll. “Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.” 2018. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/84527.

MLA Handbook (7th Edition):

Arechiga, Austin Podoll. “Sensitivity of Feedforward Neural Networks to Harsh Computing Environments.” 2018. Web. 14 Apr 2021.

Vancouver:

Arechiga AP. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/84527.

Council of Science Editors:

Arechiga AP. Sensitivity of Feedforward Neural Networks to Harsh Computing Environments. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84527


Virginia Tech

16. Chadha, Abhimanyu. Vision Based Localization of Drones in a GPS Denied Environment.

Degree: MS, Computer Engineering, 2020, Virginia Tech

 In the recent years, technologies like Deep Learning and Machine Learning have seen many rapid developments. This has lead to the rise of fields such… (more)

Subjects/Keywords: Autonomous UAVs; Stereovision; Localization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chadha, A. (2020). Vision Based Localization of Drones in a GPS Denied Environment. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99887

Chicago Manual of Style (16th Edition):

Chadha, Abhimanyu. “Vision Based Localization of Drones in a GPS Denied Environment.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/99887.

MLA Handbook (7th Edition):

Chadha, Abhimanyu. “Vision Based Localization of Drones in a GPS Denied Environment.” 2020. Web. 14 Apr 2021.

Vancouver:

Chadha A. Vision Based Localization of Drones in a GPS Denied Environment. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/99887.

Council of Science Editors:

Chadha A. Vision Based Localization of Drones in a GPS Denied Environment. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99887


Virginia Tech

17. Abraham, Subil. On the Use of Containers in High Performance Computing.

Degree: MS, Computer Science and Applications, 2020, Virginia Tech

 Containers are a technology that allow for applications to be packaged along with its ideal environment, all the way down to its preferred operating system.… (more)

Subjects/Keywords: Container Performance; High Performance Computing; Parallel File Systems; HPC Storage and I/O

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abraham, S. (2020). On the Use of Containers in High Performance Computing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99319

Chicago Manual of Style (16th Edition):

Abraham, Subil. “On the Use of Containers in High Performance Computing.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/99319.

MLA Handbook (7th Edition):

Abraham, Subil. “On the Use of Containers in High Performance Computing.” 2020. Web. 14 Apr 2021.

Vancouver:

Abraham S. On the Use of Containers in High Performance Computing. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/99319.

Council of Science Editors:

Abraham S. On the Use of Containers in High Performance Computing. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99319

18. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. 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. 14 Apr 2021.

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 2021 Apr 14]. 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

19. Sifat, Ashrarul Haq. Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 How we interact with the surfaces in contact with us has a crucial role for balancing and walking with agility. The biological touch and force… (more)

Subjects/Keywords: Humanoid Robots; Tactile Sensors; Additive Manufacturing; Artificial Neural Networks; Force Measurement

…members of the Virginia Tech Dept. of Mechanical Engineering robotics research facilities… …information picked up by the advancement of the THOR humanoid, the Virginia Tech DRC group (… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sifat, A. H. (2018). Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87082

Chicago Manual of Style (16th Edition):

Sifat, Ashrarul Haq. “Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement.” 2018. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/87082.

MLA Handbook (7th Edition):

Sifat, Ashrarul Haq. “Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement.” 2018. Web. 14 Apr 2021.

Vancouver:

Sifat AH. Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/87082.

Council of Science Editors:

Sifat AH. Tactile Sensing System Integrated to Compliant Foot of Humanoid Robot for Contact Force Measurement. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87082

20. 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… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 April 14, 2021. 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. 14 Apr 2021.

Vancouver:

Dhami HS. Using UAV Mounted LiDAR to Estimate Plant Height and Growth. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. 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

21. Sen, Anamika Ashit. Hyperpartisanship in Web Searched Articles.

Degree: MS, Computer Engineering, 2019, Virginia Tech

 Over the recent years, the World Wide Web (WWW) has become a very important part of society. It has overgrown as a powerful medium not… (more)

Subjects/Keywords: Hyperpartisanship; news; fake news; natural language processing; propaganda; misinformation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sen, A. A. (2019). Hyperpartisanship in Web Searched Articles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93209

Chicago Manual of Style (16th Edition):

Sen, Anamika Ashit. “Hyperpartisanship in Web Searched Articles.” 2019. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/93209.

MLA Handbook (7th Edition):

Sen, Anamika Ashit. “Hyperpartisanship in Web Searched Articles.” 2019. Web. 14 Apr 2021.

Vancouver:

Sen AA. Hyperpartisanship in Web Searched Articles. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/93209.

Council of Science Editors:

Sen AA. Hyperpartisanship in Web Searched Articles. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93209


Virginia Tech

22. Delvecchio, Matthew David. Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems.

Degree: MS, Electrical Engineering, 2020, Virginia Tech

 Deep learning has started infiltrating many aspects of society from the military, to academia, to commercial vendors. Additionally, with the recent deployment of 5G technology,… (more)

Subjects/Keywords: Spectrum Sensing; Adversarial Machine Learning; Radio Frequency Machine Learning; Communications Security

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Delvecchio, M. D. (2020). Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/99792

Chicago Manual of Style (16th Edition):

Delvecchio, Matthew David. “Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems.” 2020. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/99792.

MLA Handbook (7th Edition):

Delvecchio, Matthew David. “Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems.” 2020. Web. 14 Apr 2021.

Vancouver:

Delvecchio MD. Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems. [Internet] [Masters thesis]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/99792.

Council of Science Editors:

Delvecchio MD. Enhancing Communications Aware Evasion Attacks on RFML Spectrum Sensing Systems. [Masters Thesis]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/99792


Virginia Tech

23. Fowler, Michael C. Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning.

Degree: PhD, Computer Engineering, 2020, Virginia Tech

 This dissertation addresses a fundamental question behind when multiple autonomous sys- tems, like drone swarms, in the field need to coordinate and share data: what… (more)

Subjects/Keywords: Multi-agent System; Distributed Decision Making; Markov Decision Processes; Relational Learning; Probabilistic Constraint Satisfaction; Wireless Communications

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fowler, M. C. (2020). Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97996

Chicago Manual of Style (16th Edition):

Fowler, Michael C. “Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/97996.

MLA Handbook (7th Edition):

Fowler, Michael C. “Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning.” 2020. Web. 14 Apr 2021.

Vancouver:

Fowler MC. Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/97996.

Council of Science Editors:

Fowler MC. Intelligent Knowledge Distribution for Multi-Agent Communication, Planning, and Learning. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97996


Virginia Tech

24. Hauser, Steven Charles. Real-World Considerations for Deep Learning in Spectrum Sensing.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 Recently, automatic modulation classification techniques using deep neural networks on raw IQ samples have been investigated and show promise when compared to more traditional likelihood-based… (more)

Subjects/Keywords: Machine Learning; Spectrum Sensing; Neural Networks; Automatic Modulation Classification; Communication Systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hauser, S. C. (2018). Real-World Considerations for Deep Learning in Spectrum Sensing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83560

Chicago Manual of Style (16th Edition):

Hauser, Steven Charles. “Real-World Considerations for Deep Learning in Spectrum Sensing.” 2018. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/83560.

MLA Handbook (7th Edition):

Hauser, Steven Charles. “Real-World Considerations for Deep Learning in Spectrum Sensing.” 2018. Web. 14 Apr 2021.

Vancouver:

Hauser SC. Real-World Considerations for Deep Learning in Spectrum Sensing. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/83560.

Council of Science Editors:

Hauser SC. Real-World Considerations for Deep Learning in Spectrum Sensing. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83560


Virginia Tech

25. Bhela, Siddharth. Load Learning and Topology Optimization for Power Networks.

Degree: PhD, Electrical Engineering, 2019, Virginia Tech

 Increased penetration of distributed energy resources such as solar panels, wind farms, and energy storage systems is forcing utilities to rethink how they design and… (more)

Subjects/Keywords: Smart inverters; power flow; state estimation; load learning; grid probing; generic rank; topological observability; topology design; mixed-integer programming

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bhela, S. (2019). Load Learning and Topology Optimization for Power Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90407

Chicago Manual of Style (16th Edition):

Bhela, Siddharth. “Load Learning and Topology Optimization for Power Networks.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/90407.

MLA Handbook (7th Edition):

Bhela, Siddharth. “Load Learning and Topology Optimization for Power Networks.” 2019. Web. 14 Apr 2021.

Vancouver:

Bhela S. Load Learning and Topology Optimization for Power Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/90407.

Council of Science Editors:

Bhela S. Load Learning and Topology Optimization for Power Networks. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90407

26. White, Parker Douglas. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 The expansion of technology in areas such as smart homes and appliances, personal devices, smart vehicles, and many others, leads to more and more devices… (more)

Subjects/Keywords: FHSS; signal separation; constrained clustering; source identification; signal detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

White, P. D. (2019). Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93726

Chicago Manual of Style (16th Edition):

White, Parker Douglas. “Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.” 2019. Masters Thesis, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/93726.

MLA Handbook (7th Edition):

White, Parker Douglas. “Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation.” 2019. Web. 14 Apr 2021.

Vancouver:

White PD. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/93726.

Council of Science Editors:

White PD. Constrained Clustering for Frequency Hopping Spread Spectrum Signal Separation. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/93726

27. Sebastian, Bijo. Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots.

Degree: PhD, Mechanical Engineering, 2019, Virginia Tech

 This dissertation explores ways to improve autonomous navigation in unstructured terrain conditions, with specific applications to unmanned casualty extraction in disaster scenarios. Search and rescue… (more)

Subjects/Keywords: Traversability Estimation; Disturbance Rejection Control; Terrain Estimation; Tele-operation; Tracked Robot; Vehicle Slip

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sebastian, B. (2019). Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/94629

Chicago Manual of Style (16th Edition):

Sebastian, Bijo. “Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/94629.

MLA Handbook (7th Edition):

Sebastian, Bijo. “Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots.” 2019. Web. 14 Apr 2021.

Vancouver:

Sebastian B. Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/94629.

Council of Science Editors:

Sebastian B. Traversability Estimation Techniques for Improved Navigation of Tracked Mobile Robots. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/94629


Virginia Tech

28. Zhou, Lifeng. Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination.

Degree: PhD, Electrical Engineering, 2020, Virginia Tech

 Today, robotics and autonomous systems have been increasingly used in various areas such as manufacturing, military, agriculture, medical sciences, and environmental monitoring. However, most of… (more)

Subjects/Keywords: Multi-Robot Systems; Resilient and Risk-aware Submodular Maximization; Planning and Assignment Algorithms; Event-Triggered Control

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhou, L. (2020). Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98596

Chicago Manual of Style (16th Edition):

Zhou, Lifeng. “Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/98596.

MLA Handbook (7th Edition):

Zhou, Lifeng. “Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination.” 2020. Web. 14 Apr 2021.

Vancouver:

Zhou L. Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/98596.

Council of Science Editors:

Zhou L. Parsimonious, Risk-Aware, and Resilient Multi-Robot Coordination. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/98596

29. Sung, Yoonchang. Multi-Robot Coordination for Hazardous Environmental Monitoring.

Degree: PhD, Electrical Engineering, 2019, Virginia Tech

 Quick response to hazards is crucial as the hazards may put humans at risk and thorough removal of hazards may take a substantial amount of… (more)

Subjects/Keywords: Environmental Monitoring; Multi-Robot Coordination; Planning Algorithms; Decision Making

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sung, Y. (2019). Multi-Robot Coordination for Hazardous Environmental Monitoring. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/95057

Chicago Manual of Style (16th Edition):

Sung, Yoonchang. “Multi-Robot Coordination for Hazardous Environmental Monitoring.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 14, 2021. http://hdl.handle.net/10919/95057.

MLA Handbook (7th Edition):

Sung, Yoonchang. “Multi-Robot Coordination for Hazardous Environmental Monitoring.” 2019. Web. 14 Apr 2021.

Vancouver:

Sung Y. Multi-Robot Coordination for Hazardous Environmental Monitoring. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10919/95057.

Council of Science Editors:

Sung Y. Multi-Robot Coordination for Hazardous Environmental Monitoring. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/95057

.