A Large Outdoor Motion-tracking Arena for Research on Heterogeneous Autonomous Multi-robot Systems
Abstract
Funds are requested to acquire key instrumentation to support research on learning-based autonomous robot navigation, machine intelligence, computer vision, and machine learning. The proposed instrumentation includes aerial and ground robots, onboard computing and sensing units, and a server for data analysis and training of machine learning algorithms for robot navigation. The objective of this equipment procurement is to create a state-of-the-art visualcomputing and robotics infrastructure at the University of California, Riverside (UCR) that will greatly enhance the quality of current and proposed research and research-related education supported by the Department of Defense (DoD).UCR has a strong presence in research on computer vision, robotics, and machine learning. The PIs on this proposal are very active researchers in these areas, publishing in the top conferences and journals and leading research projects in these areas (from DoD and other sources). The requested equipment will allow them to extend the scope of the research to moving platforms, thus integrating sensing, learning, planning, and navigation into a unified theme, which could be the theme for future projects. Two such themes include a) computer vision and machine learning in large-scale, information-rich networked systems, and b) learning-based autonomous planning and navigation systems. It will also lead to realistic datasets for analysis of videos from moving platforms, which is currently lacking in the computer vision community. The requested equipment will also integrate with the existing camera network facility at UCR, by adding mobile platforms and providing the computational backend to process large numbers of video feeds simultaneously.The equipment will contribute to training of graduate and undergraduate students at UCR, one of America???s few accredited research-intensive Hispanic Serving Institutions (OPEID-00131600). Faculty in the Departments of Electrical and Computer Engineering, Computer Science and Engineering, and Mechanical Engineering will have access to the instrumentation for researchpurposes, and they will integrate their findings into classroom instruction. The equipment will be especially useful for courses in computer vision, robotics and machine learning, which span the expertise of the PIs involved in this grant, as well as other faculty in related areas (e.g., GPU computing, computational imaging).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 10, 2018
- Source ID
- N000141812252
Entities
People
- Amit Roy Chowdhury
Organizations
- Office of Naval Research
- United States Navy
- University of California Regents