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Learning Algorithms for Grasping

Detailed Technology Description
An algorithm was developed to determine the optimal direction for grasping objects, based on a learning approach applied to standard grippers.
Others

*Abstract

An algorithm was developed to determine the optimal direction for grasping objects, based on a learning approach applied to standard grippers. A two-step process is used in which the first step prunes the search space efficiently using certain features that are fast to compute. For the few remaining cases, the second step uses advanced features to accurately select a good grasp. The learning algorithm was demonstrated in experiments, successfully picking up a wide variety of objects, when applied to unaltered parallel plate and jamming grippers alike.

*Licensing
Carolyn A. Theodorecat42@cornell.edu (607) 254 4514
Country/Region
USA

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