4 accepted papers
Effective motion retargeting is essential for robotic hands to perform fine-grained teleoperated manipulation. However, existing methods face several key challenges: optimization-based approaches offer accurate reproduction but suffer from high computational latency; learning-based methods provide f
Anthropomorphic dexterous hands significantly enhance the manipulation capabilities of robots; however, balancing structural complexity with functional dexterity remains a major challenge. In this work, we propose the CasiaHand, a 15-DoF tendon-driven anthropomorphic dexterous hand featuring human-l
Teleoperation offers the possibility of enabling robots to replace humans in operating within hazardous environments. While it provides greater adaptability to unstructured settings than full autonomy, it also imposes significant burdens on human operators, leading to operational errors. To address
Using a long-standing conjecture from combinatorial group theory, we explore, from multiple perspectives, the challenges of finding rare instances carrying disproportionately high rewards. Based on lessons learned in the context defined by the Andrews--Curtis conjecture, we analyze how reinforcement…