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Robotic hand posture and compliant grasping control using operational space and integral sliding mode control

Published online by Cambridge University Press:  23 December 2014

Guido Herrmann ,
Jamaludin Jalani ,
Muhammad Nasiruddin Mahyuddin ,
Said G Khan  and
Chris Melhuish
Guido Herrmann*
Affiliation:
Bristol Robotics Laboratory, Department of Mechanical Engineering, Faculty of Engineering, University of Bristol, BS8 1TR, United Kingdom. E-mails: mexgh@bris.ac.uk
Jamaludin Jalani
Affiliation:
Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia
Muhammad Nasiruddin Mahyuddin
Affiliation:
School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Pulau Pinang, Malaysia
Said G Khan
Affiliation:
Department of Mechanical Engineering, College of Engineering Yanbu, Taibah University, Saudi Arabia
Chris Melhuish
Affiliation:
Bristol Robotics Laboratory, University of the West of England, Bristol, BS34 8QZ, United Kingdom
*
*Corresponding author. E-mail: g.herrmann@bris.ac.uk
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Summary

This paper establishes a novel approach of robotic hand posture and grasping control. For this purpose, the control uses the operational space approach. This permits the consideration of the shape of the object to be grasped. Thus, the control is split into a task control and a particular optimizing posture control. The task controller employs Cylindrical and Spherical coordinate systems due to their simplicity and geometric suitability. This is achieved by using an integral sliding mode controller (ISMC) as task controller. The ISMC allows us to introduce a model reference approach where a virtual mass-spring-damper system can be used to design a compliant trajectory tracking controller. The optimizing posture controller together with the task controller creates a simple approach to obtain pre-grasping/object approach hand postures. The experimental results show that target trajectories can be easily followed by the task control despite the presence of friction and stiction. When the object is grasped, the compliant control will automatically adjust to a specific compliance level due to an augmented compliance parameter adjustment algorithm. Once a specific compliance model has been achieved, the fixed compliance controller can be tested for a specific object grasp scenario. The experimental results prove that the Bristol Elumotion robot hand (BERUL) can automatically and successfully attain different compliance levels for a particular object via the ISMC.

Keywords

Robotic handGrasping postureCompliant controlPower graspingIntegral sliding mode control
Type
Articles
Information
Robotica , Volume 34 , Issue 10 , October 2016 , pp. 2163 - 2185
Copyright
Copyright © Cambridge University Press 2014 

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