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Varun Nambiar

1 accepted papers

2020

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands

RA-L 2020

To achieve a successful grasp, gripper attributes such as its geometry and kinematics play a role as important as the object geometry. The majority of previous work has focused on developing grasp methods that generalize over novel object geometry but are specific to a certain robot hand. We propose

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