Dr Philip Long
Department: Mechanical & Industrial Engineering
Campus: ATU Galway City | Dublin Road | Galway
Dr. Philip Long is a Lecturer in Robotics & Automation at Atlantic Technological University, Galway (ATU), Ireland. His research interests include human-robot collaboration, sensor-based control of robot manipulators, cable-driven parallel robots and flexible manufacturing. He has extensive experience in technology transfer projects in robotics, having worked in both industry and academia for over 15 years. Prior to joining ATU, at IMR, he was PI/Co-PI on a number of large-scale technology transfer and equipment projects in robotics totalling over €3M, including the Smart Eureka MAAS project, the Horizon 2020 projects CISC and ACROBA, and a DTIF award. During his time as a research engineer at IRT Jules Verne, Nantes, France, he developed sensor-based control schemes for human robot collaboration in partnership with industrial partners notably Renault, Airbus and Alstom (GE). Furthermore, he has contributed to high TRL university led projects developing multi arms robotic system for muscle separation and a U.S Department of Energy led project developing control architectures to enable a humanoid robot (NASA’s Valkyrie robot) to execute nuclear decommissioning. He holds a Mechanical Engineering Degree for University of Galway, a European Masters degree from University Genova and Ecole Centrale de Nantes, and a PhD from Ecole Centrale de Nantes. He has publications in several top tier robotics journals and >50 international conferences, 4 international patents and is an associate editor for IEEE’s flagship robotics and automation conference ICRA- (International Conference for Robotics and Automation).
Wang, M.**, Ö. Önol, A.**, Long, P. and Padır, T., Contact-Implicit Planning and Control for Non-Prehensile Manipulation Using State-Triggered Constraints, 2022 International Symposium on Robotics Research (ISRR),
Zolotas, M., Wonsick, M., Long, P. and Padır, T., 2021. Motion Polytopes in Virtual Reality for Shared Control in Remote Manipulation Applications. Frontiers in Robotics and AI, p.286.
Ö. Önol, A., Corcodel, R., Long, P. and Padır, T., Tuning-Free Contact-Implicit Trajectory Optimization, 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 1183-1189, doi: 10.1109/ICRA40945.2020.9196805.
Rasheed, T., Long, P., and Caro, S. (January 14, 2020). "Wrench-Feasible Workspace of Mobile Cable-Driven Parallel Robots." ASME. J. Mechanisms Robotics. June 2020; 12(3): 031009. https://doi.org/10.1115/1.4045423
Full list of Publications