Simon Fraser University
🇨🇦 CA
Papers
618
Total Citations
17,960
H-Index
63
Researchers
437
About
Simon Fraser University has established itself as a powerhouse in robotics, human-motor neuroscience, and artificial intelligence, blending fundamental biological research with cutting-edge engineering and computational innovation. SFU's research portfolio spans an impressive breadth — from understanding how the central nervous system controls movement and adapts to unstable dynamics, to building next-generation robotic systems for healthcare, autonomous navigation, and embodied AI. A defining strength of SFU's work lies at the intersection of biomechanics and robotics. Landmark studies on motor impedance control and energetic cost optimization during locomotion — now collectively cited thousands of times — have fundamentally shaped our understanding of human movement and directly inspired the design of powered prostheses, exoskeletons, and rehabilitation devices. The lab's "body-in-the-loop" optimization framework exemplifies how SFU translates biological insight into practical assistive technologies, while haptic rehabilitation systems and tactile sensors further demonstrate the university's commitment to clinically meaningful engineering. SFU researchers have also made pivotal contributions to simulation environments for robot learning, including work on SAPIEN and contributions to the Habitat platform, enabling the broader community to train and evaluate robots in realistic virtual worlds. Their investigations into sim-to-real transfer, depth completion for autonomous driving, and crowd navigation using deep reinforcement learning reflect a sustained commitment to deployable, real-world AI systems. Beyond hardware and algorithms, SFU engages critically with the societal dimensions of AI — studying social robots in dementia care, evaluating AI-powered mental health chatbots, and interrogating the ethical boundaries of therapeutic technology. This sociotechnical perspective distinguishes SFU as a place where rigorous engineering meets genuine human impact. Prospective students and collaborators will find a vibrant, interdisciplinary community producing research that consistently shapes both the science and conscience of modern robotics.
Research Focus
Key Achievements
Top Papers
- 1The central nervous system stabilizes unstable dynamics by learning optimal impedance1,116 citations · 2001
- 2Humans Can Continuously Optimize Energetic Cost during Walking411 citations · 2015
- 3SAPIEN: A SimulAted Part-Based Interactive ENvironment373 citations · 2020
- 4
- 5Massively multi-robot simulation in stage318 citations · 2008
- 6
- 7Learning Guided Convolutional Network for Depth Completion273 citations · 2020
- 8PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image240 citations · 2019
- 9Habitat: A Platform for Embodied AI Research197 citations · 2019
- 10A Haptic Knob for Rehabilitation of Hand Function196 citations · 2007
Faculty & Researchers
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