5 citations · 7 across the 2 of their papers we have counts for
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cs.RO2022★ 2 cited
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
Jakob Thumm, Matthias Althoff
Deep reinforcement learning (RL) has shown promising results in the motion planning of manipulators. However, no method guarantees the safety of highly dynamic obstacles, such as h…
cs.RO2020
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
Fanta Camara, Nicola Bellotto, Serhan Cosar +11
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navi…