Stanford's AI system guides robots autonomously on the ISS, enabling faster, safer navigation and task execution in space.
Abstract: Dynamic obstacle avoidance is a challenging topic for optimal control and optimization-based trajectory planning problems. Many existing works use Control Barrier Functions (CBFs). CBFs are ...
Abstract: For the multi-agent formation control problem, the current mainstream control methods are based on graph theory and consistency theory, which often require precise modeling of the system and ...
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