Title
Grasp Control for Enhancing Dexterity of Parallel Grippers
Abstract
A robust grasp controller for both slipping avoidance and controlled sliding is proposed based on force/tactile feedback only. The model-based algorithm exploits a modified LuGre friction model to consider rotational frictional sliding motions. The modification relies on the Limit Surface concept where a novel computationally efficient method is introduced to compute in real-time the minimum grasping force to balance tangential and torsional loads. The two control modalities are considered by the robot motion planning algorithm that automatically generates robot motions and gripper commands to solve complex manipulation tasks in a material handling application.
Year
DOI
Venue
2020
10.1109/ICRA40945.2020.9196873
2020 IEEE International Conference on Robotics and Automation (ICRA)
Keywords
DocType
Volume
grasp control,enhancing dexterity,parallel grippers,robust grasp controller,slipping avoidance,model-based algorithm,modified LuGre friction model,rotational frictional sliding motions,limit surface concept,computationally efficient method,minimum grasping force,tangential loads,torsional loads,control modalities,robot motion,automatically generates robot motions,gripper commands
Conference
2020
Issue
ISSN
ISBN
1
1050-4729
978-1-7281-7396-2
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Marco Costanzo133.80
g de maria2135.49
Gaetano Lettera301.69
Ciro Natale419430.24