3 accepted papers
In this letter, we introduce a human-centered shared autonomy approach to address over-assistance in remote robot operation, aimed at reducing control conflicts and enhancing user experience. We model the human-robot team as a partially observable Markov decision process (POMDP) that incorporates un
Recent advances in sampling-based algorithms have enhanced the ability of mobile robots to navigate safely in environments with localization uncertainty. However, navigating narrow passages remains a significant challenge due to the heightened risks posed by uncertainty. In this letter, we present a
In the realm of semi-autonomous mobile robots designed for remote operation with humans, current variable autonomy approaches struggle to reconcile conflicting intents while ensuring compliance, autonomy, and safety. To address this challenge, we propose a bidirectional trust-based variable autonomy