Staff profile

Mohsen Zahmatkesh

Mohsen Zahmatkesh is a Research Associate in Mechatronics with a specialization in Control Systems. His expertise spans Applied Control, Intelligent Control, Reinforcement Learning-driven Control, and Visual Servo Control. His academic foundation includes a BSc from Civil Aviation Technology College, the first civil aviation institution in Iran, established in 1950, and an MSc from the Sharif University of Technology, the highest-ranked university in Iran. He is currently affiliated with the Swarm Robotics Lab, which operates as a division of the Department of Computer Science at Durham University, which ranks among the world’s top 100 universities.

• Swarm Robotics, Intelligent Control, Reinforcement Learning, Visual Servo Control

Conference Paper

• Zhang, K., Zahmatkesh, M., Stefanec, M., Arvin, F., & Hu, J. (2025, March). A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments. Presented at 2025 IEEE International Conference on Industrial Technology, China

Journal Article

• Pan, H., Zahmatkesh, M., Rekabi-Bana, F., Arvin, F., & Hu, J. (online). T-STAR: Time-Optimal Swarm Trajectory Planning for Quadrotor Unmanned Aerial Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2025.3557783
• Ezabadi, M., Zahmatkesh, M., Emami, S. A., & Castaldi, P. (2025). Robust neuro-adaptive command-filtered back-stepping fault-tolerant control of satellite using composite learning. Advances in Space Research, 75(1), 1231-1244. https://doi.org/10.1016/j.asr.2024.09.041
• Zahmatkesh, M., Emami, S., Banazadeh, A., & Castaldi, P. (2022). Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning. Actuators, 11(12), Article 374. https://doi.org/10.3390/act11120374