Collaborating Authors


Researchers Take Steps Towards Autonomous AI-Powered Exoskeleton Legs


University of Waterloo researchers are using deep learning and computer vision to develop autonomous exoskeleton legs to help users walk, climb stairs, and avoid obstacles. The ExoNet project, described in an early-access paper on "Frontiers in Robotics and AI", fits users with wearable cameras. AI software processes the camera's video stream, and is being trained to recognize surrounding features such as stairs and doorways, and then determine the best movements to take. "Our control approach wouldn't necessarily require human thought," said Brokoslaw Laschowski, Ph.D. candidate in systems design engineering and lead author on the ExoNet project. "Similar to autonomous cars that drive themselves, we're designing autonomous exoskeletons that walk for themselves."

Global $384 Bn Smart Manufacturing Market 2020-2025 by Enabling Technology (Condition Monitoring, Artificial Intelligence, IIoT, Digital Twin, Industrial 3D Printing)


Increased Integration of Different Solutions to Provide Improved Performance Rapid Industrial Growth in Emerging Economies 5.2.4 Challenges Threats Related to Cybersecurity Complexity in Implementation of Smart Manufacturing Technology Systems Lack of Awareness About Benefits of Adopting Information and Enabling Technologies Lack of Skilled Workforce 5.3 Industrial Wearable Devices Trends in Smart Manufacturing 5.3.1 By Device