Haptic-guided shared control grasping: collision-free manipulation

Ghalamzan Esfahani, Amir, Parsa, Soran, Nazari, Kiyanoush and Hanheide, Marc (2020) Haptic-guided shared control grasping: collision-free manipulation. In: CASE 2020- International Conference on Automation Science and Engineering, 20-21 August 2020, Virtual.

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Haptic-guided shared control grasping: collision-free manipulation
This is the accepted manuscript to be included in the proceedings of International Conference on Automation Science and Engineering (CASE)

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Abstract

We propose a haptic-guided shared control system that provides an operator with force cues during reach-to-grasp phase of tele-manipulation. The force cues inform the operator of grasping configuration which allows collision-free autonomous post-grasp movements. Previous studies showed haptic guided shared control significantly reduces the complexities of the teleoperation. We propose two architectures of shared control in which the operator is informed about (1) the local gradient of the collision cost, and (2) the grasping configuration suitable for collision-free movements of an aimed pick-and-place task. We demonstrate the efficiency of our proposed shared control systems by a series of experiments with Franka Emika robot. Our experimental results illustrate our shared control systems successfully inform the operator of predicted collisions between the robot and an obstacle in the robot’s workspace. We learned that informing the operator of the global information about the grasping configuration associated with minimum collision cost of post-grasp movements results in a reach-to-grasp time much shorter than the case in which the operator is informed about the local-gradient information of the collision cost.

Keywords:Robotic grasping, haptic guided, shared control
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:41283
Deposited On:09 Jul 2020 11:41

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