Learning Human-Robot Interaction Through AR/VR Technologies
Abstract
This proposal requests funds to support procurement of equipment (robots, sensing and computing devices) for learning human-robot interaction through augmented and virtual reality (AR/VR) technologies. The aim is to acquire 1) robots that lend themselves to skill acquisition and allow for both physical and social interaction with humans; 2) instrumentation to collect and assess biomechanical data of human during interactions with robots; and 3) AR/VR headsets to create and test new interfaces that facilitate non-verbal human-robot interaction. This equipment will be used both for research and research-related education. Further, the proposal aims to acquire 4) small GPU development boards to be used primarily for educational purposes. The requested equipment will become indispensable to the research and relevant research-related education activities associated with 10 current projects (supported by DoD, NSF, USDA, NIH) undertaken by the PIs involved in this effort. Further, it will support activities in recently established cross-cutting education efforts at UCR (namely, new BS and MS in Robotics programs), and it will enable both new exciting research directions as well as cross-disciplinary courses at the undergraduate and graduate levels. The proposed equipment will significantly enhance the research and research-related education offered to graduate and undergraduate students at UCR, one of AmericaÕs few accredited research-intensive Hispanic Serving Institutions (OPEID-00131600). Faculty in the Departments of Electrical and Computer Engineering, Computer Science and Engineering, Bioengineering, and Mechanical Engineering will have access to the equipment for research purposes and research-related education efforts (e.g., in support of undergraduate research programs at UCR), and they will integrate their findings into classroom instruction. The equipment will be especially useful for courses in robotics, artificial intelligence, autonomy, human-machine interfaces, machine learning, cross-domain transfer learning, physical/social human-robot interaction, and interaction and non-verbal communication in collaborative human-robot teams, which span the expertise of the PIs involved in this effort. The equipment will also be helpful to other UCR faculty in related areas (e.g., embedded systems, communications, signal processing).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 02, 2022
- Source ID
- W911NF2210156
Entities
People
- Konstantinos Karydis
Organizations
- Army Contracting Command
- Office of the Secretary of Defense
- University of California, Riverside