Posts Tagged: HeRo
Growing Old with Socially Assistive Robots: Robots That Can Help with Everyday Activities Prof. Goldie Nejat, University of Toronto Thursday June 11, 2-3pm Register for the UofT Robotics Newsletter to learn more […]
What if we will never reach perfect accuracy? If we accept that premise, then an important focus towards more robust robotic manipulation is to develop methods that can cope with a base level of uncertainty and unexpected events.
Congratulations to Robotics Institute students Onaizah Onaizah and Valentin Peretroukhin for being among this year’s UofT Engineering's 16 “Grads to Watch” in 2020.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society's flagship conference and is one of the most prestigious international forums for robotics research.
Check out our highlights from the conference!
Now in its second year, XSeed addresses a complex multi-disciplinary challenge. Two recently funded robotics projects include: Continuum magnetic robots for minimally-invasive robotic surgery and industrial inspection — Eric Diller […]
U of T Engineering and the AGE-WELL Network of Centres of Excellence has partnered with the Huazhong University of Science and Technology (HUST) in China to launch a centre dedicated to researching and commercializing robotics for elder care. The centre will be virtually housed within the U of T Robotics Institute.
This presentation will present design considerations for rehabilitation robots using key examples from the field, as well as perspectives for robotic assistive technologies.
Through the Keyhole: Continuum Robots for Surgical Applications Prof. Jessica Burgner-Kahrs Continuum Robotics Laboratory University of Toronto Mississauga Thursday, May 14, 2020 | 2-3pm ET Abstract Continuum robots, which […]
Prof. Eric Diller has been awarded the McCharles Prize for Early Career Research Distinction, in recognition of his exceptional performance and distinction in early career research. Diller’s research focuses on developing miniature robots which can be wirelessly controlled just like full-sized robots. His goal is to enable a radically new approach to medical procedures and create an entirely new set of scientific tools.
Sun and collaborators plan to improve on their current heart perfusion system designs by integrating sensors that measure the pressure and flow of blood in and out of the heart. Data from these sensors can be analyzed using machine learning techniques to provide a real-time, quantitative assessment of the heart’s function.
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