Control of robotic arms for cooperative manipulations
Hugo LHACHEMI firstname.lastname@example.org
Cristina STOICA MANIU email@example.com
– Scientific description
Robot manipulators are extensively used in a great variety of industrial contexts ranging from automated production lines to teleoperations. The accomplishment of complex tasks can require the cooperation of multiple robot manipulators in a highly constrained environment , . From rendezvous problems to cooperative manipulation and transportation of a single object by several robot manipulators, robust Model Predictive Control (MPC) has emerged as the predominant technique to deal with constraints applying on both a single agent and the multi-agent system.
The aim of this post-doctoral position is twofold. The first objective addresses both modeling and control of a system of collaborative robotic arms. Centralized/decentralized/distributed MPC approaches will be investigated to ensure a high level of performance while guaranteeing safe object manipulations in a highly constrained environment (including, e.g., smooth maneuvers and obstacles avoidance). The second objective embraces the implementation and experimental validation of the developed control schemes on a system of two collaborative robotic arms.
– Desired experience
– Acquired skills during this post-doctoral position
The successful candidate will acquire through this post-doctoral position solid knowledges in the fields of cooperative control of multi-agent dynamical systems, as well as a strong experience on manipulating robotic platforms. This should provide the successful candidate with an opening to areas that are currently at the forefront of academic research, as well as research and development. This post-doctoral position has the advantage of combining deep explorations into theoretical fields along with the experimental implementation and validation of the developed control laws on a system of two collaborative robotic arms.
Robotic manipulators, Cooperative control, Model Predictive Control, Multi-Agent Systems.
 Verginis, C.K., Mastellaro, M., & Dimarogonas, D.V. (2019). Robust cooperative manipulation without force/torque measurements: Control design and experiments. IEEE Transactions on Control Systems Technology, 28(3), 713-729.
 Verginis, C. (2018). Planning and Control of Cooperative Multi-Agent Manipulator-Endowed Systems, Doctoral dissertation, KTH Royal Institute of Technology.
Work place : L2S, CentraleSupélec, Paris-Saclay University
Address : 3 rue Joliot Curie, 91190 Gif-sur-Yvette, France
Contact : Hugo LHACHEMI firstname.lastname@example.org
Application procedure : CV, cover letter, publications list and contact details of two references by e-mail to email@example.com
General information : 1-year post-doctoral position starting from September 2021
(Framework: L2S call for projects 2021)
Application deadline : 1st June, 2021 (23:30 Paris local time)