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AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation
Mingyang Li, Haofan Xu, Haowen Sun +10
Many everyday robot manipulation skills are affordance-dependent, with success determined by whether the robot contacts the functional object region required by the subsequent acti…
Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
Harry Robertshaw, Nikola Fischer, Lennart Karstensen +6
Mechanical thrombectomy (MT) is typically the optimal treatment for acute ischemic stroke involving large vessel occlusions, but access is limited due to geographic and logistical…
Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion
Tianyang Wu, Hanwei Guo, Yuhang Wang +6
Reinforcement learning has shown strong promise for quadrupedal agile locomotion, even with proprioception-only sensing. In practice, however, sim-to-real gap and reward overfittin…