5 citations · 12 across the 18 of their papers we have counts for
4 papers · 1 filter
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems
Lukas Brunke, Siqi Zhou, Mingxuan Che +1
Providing safety guarantees for learning-based controllers is important for real-world applications. One approach to realizing safety for arbitrary control policies is safety filte…
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design
Aoran Jiao, Tanmay P. Patel, Sanjmi Khurana +6
This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone…
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
Murad Dawood, Sicong Pan, Nils Dengler +3
In this paper, we address the problem of behavior-based cooperative navigation of mobile robots using safe multi-agent reinforcement learning~(MARL). Our work is the first to focus…
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space
Vivek K. Adajania, Siqi Zhou, Arun Kumar Singh +1
Quadrotor motion planning in complex environments leverage the concept of safe flight corridor (SFC) to facilitate static obstacle avoidance. Typically, SFCs are constructed throug…