Sat, March 2, 4:30 PM
90 MINUTES
Artificial and Morphological Intelligence for Human Locomotion Assistance

Understanding human perception of assistance is crucial for supporting daily movement tasks. Involving users in design and control processes enhances integration of assistive systems for natural locomotion. The rapid advancement of Artificial Intelligence offers new opportunities for enhancing interaction between humans and wearable assistive robots. However, knowledge of biological mechanical design and control has not been fully utilized in robot design. Morphological intelligence, complementing artificial intelligence, can facilitate the development of assistive robots with seamless interaction with the human body. I will present novel bioinspired concepts in the design and control of lower limb exosuit which can be extended to other sorts of assistive systems too.

Maziar Sharbafi

Senior Project Leader @ Technische Universität Darmstadt, Senior IEEE Member

Maziar Ahmad Sharbafi (Senior Member, IEEE) received the B.Sc. degree from the Sharif University of Technology, Tehran, Iran, in 2003, and the M.Sc., and Ph.D. degrees in control engineering from the University of Tehran, Tehran, in 2006 and 2013, respectively, and the second Ph.D. degree in biomechanics from TU Darmstadt, Darmstadt, Germany, in 2017. He is the leader of ""Locomotion Control Assistance"" research group and a Senior Researcher at TU Darmstadt and the Scientific Coordinator of LokoAssist Doctoral Network. His research interests include Bioinspired Model-based Approaches in the Design and Control of Legged Robots and Assistive Devices, Neuromuscular modeling, Human gait analyses, Human-Robot Interaction.