Introduction to neurorobotics: From neural control to embodied systems and robotic interaction (2027)
Doctoral School of Engineering and Science at Aalborg University
NeuroRobotics is an interdisciplinary field combining neuroscience, robotics, biomechanics, and artificial intelligence to understand and replicate biological control of movement in artificial systems. The field has gained increasing relevance with the development of assistive technologies such as exoskeletons, prostheses, and rehabilitation robots, as well as bio-inspired robotic systems capable of interacting with complex environments.
Despite rapid technological advances, many PhD students in engineering lack formal training in how principles of neural control translate into robotic implementations, and how interactions between the nervous system, body mechanics, and environment shape behavior. Furthermore, there is often a disconnect between understanding biological motor control and implementing robotic systems capable of performing meaningful tasks such as object manipulation and physical interaction.
This course addresses these gaps by linking neural control principles (e.g., motor unit behavior, sensory feedback, and predictive control) with robotic execution strategies, including object manipulation, force–torque and impedance control, and feedforward modeling. A central concept of the course is embodiment, where behavior emerges from the interaction between neural control, body structure, and environmental constraints
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