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Computer Science > Robotics
Title: Gatekeeper: Safety Critical Control of Nonlinear Systems with Limited Perception in Unknown and Dynamic Environments
(Submitted on 25 Nov 2022 (this version), latest version 27 Mar 2024 (v3))
Abstract: This paper presents the Gatekeeper algorithm, a real-time method to guarantee the safety of a robotic system operating in environments that are unknown and dynamic. Given a nominal planner designed to meet mission objectives, Gatekeeper extends the nominal trajectories using backup controllers, and determines a control policy that is certified safe for all future time using the currently available information. We demonstrate the algorithm on a dynamic aerial firefighting mission, and show reduced conservatism relative to existing methods. The algorithm was also demonstrated onboard a quadrotor, where a map of the environment was built online, and the Gatekeeper algorithm prevented a human pilot from flying the quadrotor into obstacles and unknown regions.
Submission history
From: Devansh Agrawal [view email][v1] Fri, 25 Nov 2022 19:54:41 GMT (4680kb,D)
[v2] Mon, 13 Mar 2023 20:13:40 GMT (19747kb)
[v3] Wed, 27 Mar 2024 22:26:02 GMT (30776kb,D)
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