U of T Robotics News
Robohub Podcast interviewer Audrow Nash interviews Eric Diller, Assistant Professor at the University of Toronto, on wireless micro-scale robots that could eventually be used in human surgery.
Written in plain language and free of technical jargon, this paper aims to provide decision-makers with a primer on the use of robots and their potential in the fight against COVID. We survey how other countries around the world are making use of robots, describe the current state of affairs in Canada, and provide recommendations on how we can better leverage our robotics capabilities to benefit Canadians in this challenging time.
Control theory has an answer for just about everything, but …
Reasoning about physical interactions is a computationally daunting task, yet contacts are at the core of any manipulation or locomotion behavior.
Congratulations to STARS Lab members Matt Giamou and Valentin Peretroukhin, winners of the 2020 Robotics Science and Systems (RSS) Best Student Paper Award.
Check out all the UofT contributions to the 2020 Robotics Science and Systems conference.
Enjoy these Soft Robotics Podcast interviews with UofT Robotics faculty, Xinyu Liu, Eric Diller and Jessica Burgner-Kahrs.
Watch this 20-minute talk from the Weiss Institute’s Mini Symposium on Surgical Robotics.
Check out this AI system that learns to model how fabrics interact by watching videos.
In recognition of her exemplary leadership uniting the University of Toronto’s robotics community, the UofT Robotics Institute is pleased to welcome Prof. Jessica Burgner-Kahrs as Associate Director, effective July 1, 2020.
Safety-critical applications of robotics in the wild, ranging from self-driving vehicles to search & rescue, demand a new generation of algorithms.
Exploring autonomy in robotic flexible endoscopy Prof. Pietro Valdastri Science and Technologies of Robotics in Medicine (STORM) Lab, University of Leeds Fri. June 19, 10-11am ET Register for the UofT Robotics Newsletter to learn more about our Seminar Series – seminars are open to all UofT students and faculty. Abstract This talk will focus on Robotic… Read 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!
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 are biologically inspired and organic compliant structures, differ fundamentally from traditional robots, which rely on a rigid joint-link composition. Their appearance is evocative of animals… Read more »
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.
Join U of T alumni and friends for a lecture on biology-inspired continuum robots and their role in minimally invasive surgeries.
Prof. Eric Diller has received the prestigious IEEE RAS Early Academic Career Award in Robotics and Automation for his contributions to magnetic wireless micro-scale robots.