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Learning Safe Control for Multi-Robot Systems: Methods, Verification, and Open Challenges.

, , , , and . CoRR, (2023)

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Multi-Agent Safety Verification using Symmetry Transformations., , , and . CoRR, (2019)Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions., , , and . IEEE Robotics Autom. Lett., 8 (11): 7106-7113 (November 2023)Physics-Informed, Safety and Stability Certified Neural Control for Uncertain Networked Microgrids., , , , , and . IEEE Trans. Smart Grid, 15 (1): 1184-1187 (January 2024)Fast and Guaranteed Safe Controller Synthesis for Nonlinear Vehicle Models., , and . CAV (1), volume 12224 of Lecture Notes in Computer Science, page 629-652. Springer, (2020)Cooperative Task and Motion Planning for Multi-Arm Assembly Systems., , , , , , , , , and . CoRR, (2022)GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control., , , and . CoRR, (2024)Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning., , , , , and . CoRR, (2024)Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability., , , and . CoRR, (2022)Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , and . CoRR, (2021)Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 728-741. PMLR, (2021)