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Photo of Brokoslaw LaschowskiBrokoslaw Laschowski

Post-doctoral Fellow

Toronto Rehabilitation Institute and Univeristy of Toronto

Email: brock.laschowski@
mail.utoronto.ca



Research Interest

  • Rehabilitation Robotics
  • Assistive Technology
  • Exoskeletons and Prosthetics
  • Wearable Robotics
  • Computer Vision and Deep Learning
  • Neural Engineering

Biography

Dr. Brokoslaw Laschowski is a postdoctoral research fellow in the Temerty Faculty of Medicine at the University of Toronto, where he works in the Intelligent Assistive Technology and Systems Laboratory. He also holds an affiliation with the Artificial Intelligence and Robotics in Rehabilitation Lab at the Toronto Rehabilitation Institute. As a research scientist, he specializes in the design and control of wearable robotic systems and technologies using a "biomechatronic" systems engineering approach. Applications of his research include rehabilitation robotics, neural engineering, human-computer interaction, and wearable assistive devices (e.g., robotic prosthetic legs and exoskeletons). His clinical research focuses on assisting individuals with mobility impairments due to aging and/or physical disabilities such as stroke, cerebral palsy, osteoarthritis, Parkinson’s disease, amputation, and spinal cord injury. His research also includes the design and integration of wearable sensory feedback systems (e.g., smart glasses and haptics) for persons with visual impairments. Overall, he develops technologies that interface with humans in order to improve health and performance.

Dr. Laschowski received his PhD from the Department of Systems Design Engineering, with a specialization in biomedical engineering, at the University of Waterloo and the Waterloo Artificial Intelligence Institute. His PhD research focused on 1) mathematical modelling and computer simulation of human-exoskeleton systems with energy-efficient actuators, and 2) computer vision and deep learning for autonomous exoskeleton control and decision making during legged locomotion. He received his MASc from the Department of Mechanical and Mechatronics Engineering also at the University of Waterloo, where his research focused on predictive simulation of human movements using optimal control theory.

Dr. Laschowski has published in many leading scientific journals and conferences, including the IEEE Transactions on Medical Robotics and Bionics, the Frontiers in Neurorobotics, and the IEEE International Conference on Biomedical Robotics and Biomechatronics. He previously served on the executive committee of the Canadian Society for Biomechanics and worked at the Holland Bloorview Kids Rehabilitation Hospital and as a biomechanics lecturer at Humber College. To date, he has earned over $254,000 in scholarships and awards (e.g., the Natural Sciences and Engineering Research Council of Canada) and co-authored grant proposals that received over $197,000 in research and infrastructure funding (e.g., the Canada Foundation for Innovation). He has presented at many national and international conferences and was a Best Paper Award finalist at the 2019 IEEE International Conference on Rehabilitation Robotics. His award-winning research has been featured on mainstream media networks like BBC World News, CBC radio, Forbes, and Maclean’s magazine.


Selected Publications

  • Laschowski B, McNally W, Wong A, and McPhee J. (2022). Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks. Frontiers in Neurorobotics, 15, 730965. DOI: 10.3389/fnbot.2021.730965.
  • Laschowski B, McNally W, Wong A, and McPhee J. (2021). Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC46164.2021.9630064.
  • Nasr A, Laschowski B, and McPhee J. (2021). Myoelectric Control of Robotic Leg Prostheses and Exoskeletons: A Review. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE). DOI: 10.1115/DETC2021-69203.
  • Laschowski B, Razavian RS, and McPhee J. (2021). Simulation of Stand-to-Sit Biomechanics for Robotic Exoskeletons and Prostheses with Energy Regeneration. IEEE Transactions on Medical Robotics and Bionics, 3(2), pp. 455-462. DOI: 10.1109/TMRB.2021.3058323.
  • Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and AI, 7, 562061. DOI: 10.3389/frobt.2020.562061.
  • Laschowski B, McNally W, Wong A, and McPhee J. (2020). Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses. IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). DOI: 10.1109/BioRob49111.2020.9224364.
  • Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 868-873. DOI: 10.1109/ICORR.2019.8779540.
  • Laschowski B, McPhee J, and Andrysek J. (2019). Lower-Limb Prostheses and Exoskeletons with Energy Regeneration: Mechatronic Design and Optimization Review. ASME Journal of Mechanisms and Robotics, 11(4), pp. 040801-040801-8. DOI: 10.1115/1.4043460.