posted on 2017-02-16, 13:39authored byJianglong Guo, Thomas Bamber, Yuchen Zhao, Matthew Chamberlain, Laura JusthamLaura Justham, Michael R. Jackson
An autonomous, adaptive, and intelligent electroadhesive material handling system has been presented in this paper. The system has been proposed and defined based on the identification of a system need through a comprehensive literature review and laboratory-based experimental tests. The proof of the proposed concept has been implemented by a low cost and novel electroadhesive pad design and manufacture process, and a mechatronic and reconfigurable platform, where force, humidity, and capacitive sensors have been employed. This provides a solution to an autonomous elelctroadhesive material handling system that is environmentally and substrate material adaptive. The results have shown that the minimum voltage can be applied to robustly grasp different materials under different environment conditions. The
proposed system is particularly useful for pick-and-place applications where various types of materials and changing environments
exist such as robotic material handling applications in the textile and waste recycling industry.
Funding
This work was supported by the EPSRC Centre for Innovative Manufacturing in Intelligent
Automation under Grant EP/IO33467/1.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Robotics and Automation Letters
Volume
2
Issue
2
Pages
538 - 545
Citation
GUO, J. ...et al., 2017. Toward adaptive and intelligent electroadhesives for robotic material handling. IEEE Robotics and Automation Letters, 2(2), pp. 538-545.
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Publication date
2016-12-28
Notes
This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/