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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 researcher at the Toronto Rehabilitation Institute in Canada working in the Intelligent Assistive Technology and Systems Laboratory (IATSL) and the Artificial Intelligence and Robotics in Rehabilitation (AIRR) Lab. He also holds an affiliation with the Faculty of Medicine and the Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) at the University of Toronto. He specializes in using mathematical, computational, and machine learning methods to optimize the design and control of humans interacting with wearable robotic systems and technologies. Applications of his research include rehabilitation robotics, neural engineering, human-computer interaction, and wearable assistive technologies (i.e., exoskeletons and robotic prostheses). His clinical research focuses on assisting individuals with mobility impairments due to aging and/or physical disabilities such as stroke, cerebral palsy, Parkinson’s disease, amputation, and spinal cord injury.

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 doctoral 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 during legged locomotion. He received his masters from the Department of Mechanical and Mechatronics Engineering at the University of Waterloo and a second master's degree from the School of Kinesiology, with a specialization in human biomechanics, at the University of Western Ontario.

Dr. Laschowski has published in many leading scientific journals and conferences, including the IEEE Transactions on Medical Robotics and Bionics, the Frontiers in Robotics and AI, and the IEEE International Conference on Biomedical Robotics and Biomechatronics. He recently served on the executive committee of the Canadian Society for Biomechanics and worked at the Holland Bloorview Kids Rehabilitation Hospital and as a biomechanics professor at Humber College. To date, he has earned over $234,000 in scholarships and awards (e.g., from 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., from 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 media networks like BBC News, CBC, and Maclean’s Magazine.


Selected Publications

  • Laschowski B, McNally W, Wong A, and McPhee J. (2021). Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks. Frontiers in Neurorobotics. Conditionally Accepted.
  • 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). Accepted.
  • 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.