Papers
44
Total Citations
1,664
H-Index
21
About
Philippe S. Archambault is a leading researcher in rehabilitation robotics and assistive technology, with a distinguished focus on upper limb recovery following stroke and support for individuals with physical disabilities. Based at McGill University, his work bridges engineering innovation and clinical application, addressing some of the most pressing challenges in neurorehabilitation and assistive device development. Archambault's most influential contribution is his 2012 systematic review and meta-analysis on robot-assisted stroke rehabilitation (373 citations), which synthesized evidence from randomized controlled trials and helped establish the scientific foundation for robotic therapy in clinical practice. His evaluation of the JACO robotic arm (214 citations) demonstrated its real-world clinical and economic value for wheelchair users with upper-extremity disabilities, while his development of the ETS-MARSE exoskeleton (190 citations) advanced wearable robotic solutions for both rehabilitation and daily movement assistance. Beyond hardware development, Archambault has made substantial contributions to control strategies for exoskeleton systems, including sliding mode control and admittance-based rehabilitation schemes. His more recent work integrates virtual reality, robotics, and electrical stimulation into personalized stroke interventions, reflecting an evolving and interdisciplinary research vision. Across his career, his publications have collectively accumulated hundreds of citations, establishing him as a pivotal figure in translating rehabilitation robotics from laboratory research into meaningful clinical outcomes.
Research Focus
Key Achievements
Top Papers
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- 4Control of an exoskeleton robot arm with sliding mode exponential reaching law113 citations · 2013
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- 6Admittance-Based Upper Limb Robotic Active and Active-Assistive Movements49 citations · 2015
- 7
- 8Long-term use of the JACO robotic arm: a case series46 citations · 2018
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- 10Virtual decomposition control of an exoskeleton robot arm40 citations · 2014