3 papers
cs.RO2025
Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction
Hao Zhou, Yanze Zhang, Wenhao Luo
Safety is a critical concern in learning-enabled autonomous systems especially when deploying these systems in real-world scenarios. An important challenge is accurately quantifyin…
eess.SY2025
Adaptive Deadlock Avoidance for Decentralized Multi-agent Systems via CBF-inspired Risk Measurement
Yanze Zhang, Yiwei Lyu, Siwon Jo +2
Decentralized safe control plays an important role in multi-agent systems given the scalability and robustness without reliance on a central authority. However, without an explicit…
cs.RO2025
Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention
Wonjong Lee, Joonyeol Sim, Joonkyung Kim +3
We propose a hybrid approach for decentralized multi-robot navigation that ensures both safety and deadlock prevention. Building on a standard control formulation, we add a lightwe…