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Finding enveloping grasps by matching continuous surfaces

Yi Li 1 Jean-Philippe Saut 1 Juan Cortés 1 Thierry Simeon 1 Daniel Sidobre 1
1 LAAS-RIS - Équipe Robotique et InteractionS
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This paper presents a new method to compute enveloping grasps with a multi-fingered robotic hand. The method is guided by the idea that a good grasp should maximize the contact surface between the held object and the hand's palmar surface. Starting from a given hand pregrasp configuration, the proposed method finds the hand poses that maximize this surface similarity. We use a surface descriptor that is based on a geodesic measure and on a continuous representation of the surfaces, unlike previous shape matching methods that rely on the Euclidean distance and/or discrete representation (e.g. random point set). Using geodesic contours to describe local surfaces enables us to detect details such as a handle or a thin part. Once the surface matching returns a set of hand poses, sorted by similarity, a second step is performed to adjust the hand configuration with the purpose of eliminating penetration of the object. Lastly, the grasp stability is tested in order to definitely validate the candidate grasps.
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Submitted on : Friday, January 18, 2019 - 11:43:42 AM
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  • HAL Id : hal-01985779, version 1


Yi Li, Jean-Philippe Saut, Juan Cortés, Thierry Simeon, Daniel Sidobre. Finding enveloping grasps by matching continuous surfaces. IEEE International Conference on Robotics and Automation, 2011, Shangai, China. ⟨hal-01985779⟩



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