Introduction
Multi-fingered robotic hands promise versatile manipulation in human environments, from tool use and food preparation to cloth handling and knot tying. Recent advances in artificial intelligence, robust teleoperation, tactile sensing, and large-scale datasets are bringing us closer to overcoming long-standing challenges and realizing new levels of dexterity.
Yet major gaps remain: multi-fingered hands often underperform compared to two-fingered grippers; datasets and benchmarks remain gripper-centric; and grippers already dominate industrial use. This raises a critical question: how can we overcome these limitations and unlock the full potential of dexterous hands?
This workshop will bring together researchers from academia and industry to explore answers, with themes spanning manipulation bottlenecks, algorithmic advances, improved adaptability, and future directions. Through invited talks, spotlight presentations, posters, and a panel discussion, participants will exchange perspectives and build collaborations that drive progress toward practical dexterous manipulation.
Invited Speakers
(listed alphabetically)
