This work contributes a reaction wheel and two force/torque-sensed robotic arms with interchangeable end-effectors, integrated as first-class control actuators through a unified ROS 2 abstraction layer, and builds a reinforcement-learning training environment and digital twin and a controller that exploits these added...
Ricard M. Castan, Akiyoshi Uchida, Aman Arora et al.· 0 citations
This work identifies a structural failure mode of this method class on terminal-navigation tasks: reaching a precise goal configuration while satisfying safety constraints that tighten along the final approach, and empirically demonstrates that adding a dense per-step success signal via an auxiliary value critic improv...
Aman Arora, Ricard M. Castan, Matteo El-Hariry et al.· 0 citations
HYPER-GNC, a multi-task reinforcement learning framework in which a hypernetwork maps physics-informed task embeddings to the weights of a shared actor-critic policy, enabling a single compact controller to master four distinct GNC tasks: velocity tracking, docking, inspection, and navigation with obstacle avoidance.
Ricard M. Castan, Aman Arora, Antoine Richard et al.· arXiv.org· 1 citation
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