137 citations · 510 across the 88 of their papers we have counts for
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cs.RO2023
Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam +1
Ensuring safety in dynamic multi-agent systems is challenging due to limited information about the other agents. Control Barrier Functions (CBFs) are showing promise for safety ass…
cs.RO2023
Enhancing Robot Learning through Learned Human-Attention Feature Maps
Daniel Scheuchenstuhl, Stefan Ulmer, Felix Resch +2
Robust and efficient learning remains a challenging problem in robotics, in particular with complex visual inputs. Inspired by human attention mechanism, with which we quickly proc…