Proprioception-Based Grasping for Unknown Objects Using a Series-Elastic-Actuated Gripper

Grasping unknown objects has been an active research topic for decades. Approaches range from using various sensors (e.g. vision, tactile) to gain information about the object, to building passively compliant hands that react appropriately to contacts. In this paper, we focus on grasping unknown obj...

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Bibliographic Details
Main Authors: Chen, Tianjian, Ciocarlie, Matei
Format: Conference Proceeding
Language:English
Subjects:
Grasping
Grippers
Pulleys
Robot sensing systems
Sea measurements
Springs
Online Access:Request full text
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Summary:Grasping unknown objects has been an active research topic for decades. Approaches range from using various sensors (e.g. vision, tactile) to gain information about the object, to building passively compliant hands that react appropriately to contacts. In this paper, we focus on grasping unknown objects using proprioception (the combination of joint position and torque sensing). Our hypothesis is that proprioception alone can be the basis for versatile performance, including multiple types of grasps for objects with multiple shapes and sizes, and transitions between grasps. Using a series-elastic-actuated gripper, we propose a method for performing stable fingertip grasps for unknown objects with unknown contacts, formulated as multi-input-multi-output (MIMO) control. We also show that the proprioceptive gripper can perform enveloping grasps, as well as the transition from fingertip grasps to enveloping grasps.
ISSN:2153-0866
DOI:10.1109/IROS.2018.8593787