Research Fellow

The Research Fellow position supports the Modular Reconfigurable Mobile Robots project by developing a reconfigurable control framework that integrates automatic robot modelling, adaptive control, and reinforcement learning. The role focuses on enabling robot platforms to operate safely and efficiently across various configurations, modes, and environments. This involves designing control algorithms, training deep reinforcement learning policies, and deploying solutions in simulation and real-world settings.