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Dynamic Systems Lab News
Friday January 8th, 2021
Prof. Angela Schoellig has been elected to serve on the IEEE Robotics and Automation Society (RAS) Administrative Committee for the next 3 years. Send her your suggestions for the IEEE RAS here: lnkd.in/dfW-XGG
robotics.utoronto.ca
Schoellig is one of only six new members elected to the RAS Administrative Committee this year.Congrats, Angela. I just sent my suggestions and I signed with my name. There is a lot to improve.
Thursday December 17th, 2020
With all the best wishes for a joyful holiday season. Take a break and enjoy the video!
2020 Holiday Greetings from the Dynamic Systems Lab
youtu.be
It has been an unusual year! We are sharing this short video to send best wishes for a healthy and joyful holiday season.Video by Abhishek Goudar, Wenda Zhao...Tuesday December 15th, 2020
Join us LIVE this week **Tue-Fri at 11h15-12h30 (EST)** for four Invited Sessions on Learning-Based Control at CDC2020, covering model and controller learning & safety guarantees. Co-organizers: Matthias Mueller, Melanie Zeilinger, Sebastian Trimpe.
CDC 2020 Program | Program at a Glance
css.paperplaza.net
CDC 2020 Technical Program Monday December 14, 2020 Monday Tuesday Wednesday Thursday Friday Next Top Click on the day's program and use the arrow keys for easy horizonta...Monday December 14th, 2020
Happy Holidays from Skule! Can you find our lab’s robots?
🎄
www.youtube.com
Celebrate the holiday season, and reflect on the past year with the Twelve Days of Skule™, as performed by U of T Engineering student Connor Glossop.Monday November 30th, 2020
ICYMI: Check out our IROS2020 Presentation about playing catch with a mobile manipulator. We proposed a planning and control framework that achieves a success rate of 85%.
Paper: arxiv.org/pdf/2003.07489.pdf
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
www.youtube.com
In this project, we focus on the mobile manipulator ball-catching task. We introduce a framework including two components: a bi-level motion optimization alg...Wednesday November 25th, 2020
ICYMI: The IROS2020 presentation for our RA-L paper. We learn robot parameters for trajectory estimation in a Gaussian variational inference setting. Our method works without ground truth, i.e. with only noisy measurements including outliers
Paper: www.dynsyslab.org/wp-content/papercite-data/pdf/wong-ral20b.pdf
Wednesday October 7th, 2020
How is robotics being used to in the era of COVID-19? The University of Toronto Robotics Institute's faculty have produced a white paper regarding the role of Robotics in the pandemic response and beyond.
arxiv.org/abs/2009.08577
Friday October 2nd, 2020
Check out the University of Toronto Engineering News article about aUToronto's win: uofteng.ca/sdOCUg
uofteng.ca
aUToronto and their self-driving car, Zeus, edged out seven other engineering schools to take third consecutive titleThursday October 1st, 2020
By exploiting differential flatness and the properties Gaussian Processes, we develop a learning-based controller that achieves high-accuracy tracking while guaranteeing safety. Find our upcoming LCSS paper: ieeexplore.ieee.org/document/9140024
