Robin Chhabra
Assistant Professor
Faculty of Engineering and Architectural Science
Department of Mechanical and Industrial Engineering
Toronto, Ontario
robin.chhabra@torontomu.ca
Office:
(416) 979-5000 ext. 554097
Expert In
Bio/Research
A leading expert in geometrics mechanics, control systems, and artificial general intelligence, Robin Chhabra is helping to make space exploration safer and more reliable by advancing robotics. Drawing inspiration from nature, he develops soft robotics equipped with brain-inspired intelligence. I...
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Bio/Research
A leading expert in geometrics mechanics, control systems, and artificial general intelligence, Robin Chhabra is helping to make space exploration safer and more reliable by advancing robotics. Drawing inspiration from nature, he develops soft robotics equipped with brain-inspired intelligence. In Chhabra’s Embodied Learning and Intelligence for eXploration and Innovative soft Robotics (ELIXIR) Lab, his team develops neuromorphic prototypes, such as a silicone-based inchworm robot with 3D motion and a space manipulation system capable of navigating in off-nominal scenarios in orbit.
A dust storm sweeps over a rover. A multi-legged robot loses function in two legs. To evolve robotics disaster recovery behaviour, Chhabra embraces philosophy and neuroscience. “Robotics need the ability to define concepts and build their own dictionary, so they can creatively problem solve,” he says. At Toronto Metropolitan University, he motivates his graduate students to think abstractly about machine learning as they create self-aware robotics with the ability to self-assess, imagine, and respond.
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A dust storm sweeps over a rover. A multi-legged robot loses function in two legs. To evolve robotics disaster recovery behaviour, Chhabra embraces philosophy and neuroscience. “Robotics need the ability to define concepts and build their own dictionary, so they can creatively problem solve,” he says. At Toronto Metropolitan University, he motivates his graduate students to think abstractly about machine learning as they create self-aware robotics with the ability to self-assess, imagine, and respond.
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