leaphand.com - LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

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Description: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning

machine learning (3887) dexterous manipuation (5) robot hand (2)

Example domain paragraphs

API Sim2Real Abstract Dexterous manipulation has been a long-standing challenge in robotics. While machine learning techniques have shown some promise, results have largely been currently limited to simulation. This can be mostly attributed to the lack of suitable hardware. In this paper, we present LEAP Hand, a low-cost dexterous and anthropomorphic hand for machine learning research. In contrast to previous hands, LEAP Hand has a novel kinematic structure that allows maximal dexterity regardless of finger

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Links to leaphand.com (4)

• anag.me Ananye Agarwal
• bidex-teleop.github.io Bimanual Dexterity for Complex Tasks
• kingchou007.github.io Jinzhou Li
• robots-that-learn.github.io CS 294-277, Robots That Learn (Fall 2024)