GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems

Johannes A. Gaus, Junheon Yoon, Woo-Jeong Baek +3

This paper presents the framework \textbf{GUARD} (\textbf{G}uided robot control via \textbf{U}ncertainty attribution and prob\textbf{A}bilistic kernel optimization for \textbf{R}is…