Project Grant 2423130

Award Date 1/1/24
Completion Date 6/30/25
Dollars Obligated $188K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Albany, CA 94710, USA
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This three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems and Computer and Information Science and Engineering program (CFDA 47.070) provides $500,000 to Stanford University to develop risk-aware planning and control strategies for safe human-cyber physical system interactions. The award will advance the state-of-the-art in cyber-physical-human system planning and control through computationally tractable risk-aware trajectory planning...
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The National Science Foundation (NSF) awarded a $188,410 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley. This 18-month grant, which began on January 1, 2024, supports the development of risk-aware interactive control and planning algorithms to achieve safe cyber-physical-human (CPS-H) systems.

The key objectives of this research project are: (i) creating computationally-tractable risk-aware trajectory planning algorithms for autonomous CPS-H, (ii) developing an efficient framework to account for risk-awareness in human decision-making, and (iii) deriving interaction-aware planning algorithms to enable safe and efficient interactions between multiple risk-aware agents. The research findings will be validated through extensive evaluation with human participants interacting with autonomous systems like self-driving cars and quadcopters. This work aims to advance the state-of-the-art in CPS-H planning and control, with potential impact in domains such as multi-agent interactions, autonomous driving, and human-agent collaboration in safety-critical scenarios.

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