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Zeus AutoDrive

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Dynamic Systems Lab News

 

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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
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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
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How is robotics being used to in the era of COVID-19? The University of Toronto Robotics Institutes faculty have produced a white paper regarding the role of Robotics in the pandemic response and beyond. 

https://arxiv.org/abs/2009.08577

Thursday October 1st, 2020

Congrats to our self-driving car team, aUToronto, for placing first in the 3rd year of the SAE International AutoDrive Challenge! And on winning overall in the 3-year competition! ... See MoreSee Less

Thursday 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 ... See MoreSee Less

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: https://ieeexplore.ieee.org/document/9140024

Tuesday September 22nd, 2020

With the new semester having started, we want to welcome our new graduate students: Lukas, Shichen, Justin, Xintong, and Jingxing! See the whole team: www.dynsyslab.org/team/ ... See MoreSee Less

With the new semester having started, we want to welcome our new graduate students: Lukas, Shichen, Justin, Xintong, and Jingxing! See the whole team:  https://www.dynsyslab.org/team/

Tuesday September 8th, 2020

Want to play catch with a mobile manipulator? Why not! We proposed a planning and control framework that achieves a success rate of 85%, accepted to IROS2020.
Paper: www.dynsyslab.org/wp-content/papercite-data/pdf/dong-iros20.pdf
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Friday August 14th, 2020

Prof. Angela Schoellig presented "Safe and Efficient Active Learning Strategies for Robotics Applications" at the ICML workshop on Real World Experiment Design and Active Learning check out the video at 7:32:00!
icml.cc/virtual/2020/workshop/5745
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Prof. Angela Schoellig presented Safe and Efficient Active Learning Strategies for Robotics Applications at the ICML workshop on Real World Experiment Design and Active Learning  check out the video at 7:32:00!  
https://icml.cc/virtual/2020/workshop/5745

Wednesday August 12th, 2020

Wondering how to guarantee success in cross-robot experience transfer? Our L-CSS paper presents an approach to predict transfer performance in cross-robot model transfer and highlights the asymmetric nature of cross-robot transfer problems.
Paper: arxiv.org/pdf/2006.16126.pdf
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University of Toronto Institute for Aerospace Studies