Max Robotics — Global Service Robot Directory + US Certification

About

Thierry Dutoit’s research lies at the compelling intersection of human-robot interaction, brain-computer interfaces, and assistive robotics. His work is defined by a dual focus: enabling machines to communicate more naturally with humans, and empowering humans to control robotic prosthetics with their own neural signals. In human-robot interaction, Dutoit developed a real-time framework for generating multimodal feedback—such as backchannels—from robots and agents during storytelling, a contribution that has garnered 34 citations and advanced the field of socially aware robotics. More notably, his pioneering contributions to lower limb prosthetics have reshaped rehabilitation engineering. He proposed biologically inspired control schemes that allow active leg prostheses and foot lifter orthoses to be driven directly by the user’s intention, using P300 brain signals and central pattern generator algorithms. His proof-of-concept for a five-state P300-based foot lifter orthosis (26 citations) and his work on eye-movement-controlled prostheses (28 citations) demonstrate a visionary approach to restoring mobility. By integrating bipedal robotics with brain-computer interfaces, Dutoit has created a new paradigm for neuroprosthetic control, making his work essential reading for anyone interested in the future of assistive technology and embodied AI.