Matthias Jammot

PhD Student at Harvard University
AI & Robotics for Health

Matthias Jammot

I am a doctoral student at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) working on AI & Robotics for Health. My areas of interest encompass enhancing human lives through wearable sensors, robotics, and artificial intelligence.

I am the recipient of the Arthur Sachs Fulbright Scholarship and the Jean Gaillard Memorial Fellowship, which alongside Harvard's funding, support me in my research.

Prior to starting my PhD, I worked on multimodal sensing (egocentric vision + physiological sensors) for health monitoring and human-computer interaction with Prof. Christian Holz of the Sensing, Interaction & Perception Lab at ETH Zürich.

I completed a Master's degree (MEng) at Imperial College London in Mechanical Engineering with a Year Abroad. In this 4-year course (BEng+MEng=3+1), I pursued my final year at ETH Zürich in the Robotics, Systems and Control MSc. My Master's thesis on the design and control of a novel lower-limb soft exoskeleton at the Sensory-Motor Systems Lab was supervised by Prof. Robert Riener.

News

Peer-reviewed Publications

Comparative Study of Pulley and Bowden Transmissions in a Novel Cable-Driven Exosuit, the Stillsuit

Matthias Jammot, Adrian Esser, Peter Wolf, Robert Riener, Chiara Basla

IEEE International Conference on Robotics and Automation (ICRA), 2025.

Cable-driven exosuits assist users in ambulatory activities by transmitting assistive torques from motors to the actuated joints. State-of-the-art exosuits typically use Bowden cable transmissions, albeit their limited efficiencies (40–60%) and non-linear response in curved paths. This paper evaluates the efficiency and responsiveness of a new cable-pulley trans mission compared to a Bowden transmission, using both steel and Dyneema cables. The analysis includes three experiments: a test bench simulating a curved transmission path, followed by a static and dynamic experiment where six unimpaired participants donned an exosuit featuring both transmissions across the hips and knees. Our findings demonstrate that the pulley transmission consistently outperformed the Bowden’s efficiency by absolute margins of 18.77 ± 7.29% using a steel cable and by 40.60 ± 6.76% using a Dyneema cable across all experiments. Additionally, the steel cable was on average 19.19 ± 5.29% more efficient than the Dyneema cable in the pulley transmission and 41.02 ± 6.34% in the Bowden tube. These results led to the development of the Stillsuit, a novel lower-limb cable-driven exosuit that uses a pulley transmission and steel cable. The Stillsuit sets a new benchmark for exosuits with 87.56 ± 3.92% transmission efficiency, generating similar biological torques to those found in literature (16.4% and 19.0% of the biological knee and hip torques, respectively) while using smaller motors, resulting in a lighter actuation unit (1.92 kg).
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