Skip to Content
Skip to main content

Optimal design of a walking machine for in-situ maintenance and repair in hazardous environments

Funder: Engineering and Physical Sciences Research Council
Duration: January 2022 - December 2022

People

Name Telephone Email Office
Dr Mingfeng Wang Dr Mingfeng Wang
Lecturer in Robotics and Autonomous Systems
(Principal investigator)
T: +44 (0)1895 266411
E: mingfeng.wang@brunel.ac.uk
+44 (0)1895 266411 mingfeng.wang@brunel.ac.uk Howell 123

Outputs

Pledger, J. and Wang, M. (2022) 'Design and Analysis of an End Effector Using the Fin Ray Structure for Integrated Limb Mechanisms', in Pacheco-Gutierrez, S., Cryer, A., Caliskanelli, I., Tugal, H. and Skilton, R. (eds.) Towards Autonomous Robotic Systems: 23rd Annual Conference, TAROS 2022, Culham, UK, September 7–9, 2022, Proceedings. Cham, Switzerland : Springer. , 13546 LNAI. pp. 40 - 49. ISBN 10: 3-031-15908-X. ISBN 13: 978-3-031-15907-7.

Book chapter

Camacho-Arreguin, JI., Wang, M., Russo, M., Dong, X. and Axinte, D. (2022) 'Novel Reconfigurable Walking Machine Tool Enables Symmetric and Nonsymmetric Walking Configurations'. IEEE/ASME Transactions on Mechatronics, 0 (in press). pp. 1 - 12. ISSN: 1083-4435 Open Access Link

Journal article