Brokoslaw Laschowski
University of Waterloo, University of Toronto, University Health Network, Toronto Rehabilitation Institute
Papers
29
Total Citations
373
H-Index
10
About
Brokoslaw Laschowski is a leading researcher at the intersection of robotics, computer vision, and rehabilitation engineering, with a focus on advancing intelligent control systems for robotic leg prostheses and exoskeletons. His work addresses a fundamental challenge in assistive robotics: enabling devices to autonomously recognize and adapt to real-world walking environments, reducing the cognitive burden placed on users with physical disabilities or mobility impairments. Laschowski's most influential contribution — his 2022 paper on deep convolutional neural networks for environment classification (79 citations) — demonstrated how camera-based perception could surpass traditional sensor modalities for locomotion mode recognition. This work laid the groundwork for a broader research program incorporating computer vision, AI-powered smart glasses, and embedded computing to build practical, deployable systems. His stair recognition research, culminating in the StairNet framework, exemplifies his commitment to translating deep learning advances into real-world assistive technology. Beyond perception, Laschowski has contributed meaningfully to actuator design and energy efficiency in robotic limbs, as well as myoelectric control interfaces and biomechanical simulation. With over 280 cumulative citations across ten papers, his research represents a cohesive and rapidly growing body of work that is shaping the next generation of intelligent, human-centered assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 6Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review27 citations · 2021
- 7StairNet: visual recognition of stairs for human–robot locomotion23 citations · 2024
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