Papers
37
Total Citations
1,347
H-Index
20
About
Alexandre Campeau-Lecours is a prominent robotics and biomedical engineering researcher whose work sits at the intersection of human-robot interaction, assistive technology, and biosignal processing. His research has profoundly shaped how robotic systems can intuitively cooperate with human operators, particularly for individuals living with physical disabilities. His early landmark contribution on variable admittance control for intelligent assist devices (2012, 219 citations) established foundational principles for seamless human augmentation, while subsequent work on cable-suspended crane systems and large-payload handling robots demonstrated his versatility across industrial and assistive contexts. Campeau-Lecours has made significant strides in surface electromyography (sEMG), pioneering transfer learning approaches with convolutional neural networks for gesture recognition (2017, 174 citations) and authoring a widely referenced review on EMG noise reduction (2023, 147 citations). His collaboration with Kinova Robotics yielded influential documentation of modular robotic platforms used globally in service and assistive applications. Notably, he has championed inclusive human-robot interaction through multimodal wireless interfaces, voice control systems, and user-centered evaluation frameworks like the QUEAD questionnaire, ensuring that advanced robotics genuinely serve people with upper-limb disabilities. With over 896 cumulative citations across his most recognized works, Campeau-Lecours represents a leading voice in socially impactful robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Kinova Modular Robot Arms for Service Robotics Applications62 citations · 2017
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- 10Kinova Modular Robot Arms for Service Robotics Applications42 citations · 2019