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Dynamic Systems Lab News

 

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Monday April 5th, 2021

Our latest RA-L paper describes a new method to pack more expressiveness into models used in Stochastic MPC at low computational cost while supporting online adaptation and model selection to adapt to changes in robot dynamics.
Paper: ieeexplore.ieee.org/abstract/document/9369887
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Our latest RA-L paper describes a new method to pack more expressiveness into models used in Stochastic MPC at low computational cost while supporting online adaptation and model selection to adapt to changes in robot dynamics.
Paper: https://ieeexplore.ieee.org/abstract/document/9369887
Friday March 19th, 2021

Looking for a lightweight, low-cost localization solution for a group of agents?Have a look at our recent work on ultra-wideband (UWB) time-difference-of-arrival (TDOA) positioning systems. With a neural network bias model and an efficient M-estimation based Kalman filter, our proposed localization framework is able to run on-board a 27g quadcopter!
Paper: ieeexplore.ieee.org/document/9372785
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Tuesday February 9th, 2021

Wondering how to improve the performance of an off-the-shelf robot when access to its controller is limited? In this IJRR paper, we propose a neural-network-based approach that learns an add-on module to enhance the performance of a black-box system using only minimal knowledge/data from the system
Paper: journals.sagepub.com/doi/10.1177/0278364920953902
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Friday February 5th, 2021

In our latest RA-L paper we investigated whether motion distortion and Doppler effects have an impact on radar-based navigation including odometry on the Oxford dataset and metric localization using our own platform, Boreas.
The paper: arxiv.org/abs/2011.03512
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In our latest RA-L paper we investigated whether motion distortion and Doppler effects have an impact on radar-based navigation including odometry on the Oxford dataset and metric localization using our own platform, Boreas.
The paper: https://arxiv.org/abs/2011.03512
Friday January 29th, 2021

The pandemic has been challenging for everyone, but it has taught us lessons in adaptation: from flying drones in the living room to exchanging gifts virtually. Check out the rest of our team photos: www.dynsyslab.org/photos ... See MoreSee Less

The pandemic has been challenging for everyone, but it has taught us lessons in adaptation: from flying drones in the living room to exchanging gifts virtually. Check out the rest of our team photos: www.dynsyslab.org/photosImage attachment
Friday January 22nd, 2021

We are looking for outstanding UofT undergraduate students interested in funded (e.g. NSERC USRA, ESROP, U of T Excellence Award, etc) summer research opportunities in robotics, machine learning and/or control. Students interested in this exciting opportunity should fill out this form by January 31st. forms.gle/khsnc8PXS9Zhx1iQ8 ... See MoreSee Less

We are looking for outstanding UofT undergraduate students interested in funded (e.g. NSERC USRA, ESROP, U of T Excellence Award, etc) summer research opportunities in robotics, machine learning and/or control. Students interested in this exciting opportunity should fill out this form by January 31st. https://forms.gle/khsnc8PXS9Zhx1iQ8Image attachment
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
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...
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Monday December 14th, 2020

Happy Holidays from Skule! Can you find our lab’s robots?
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University of Toronto Institute for Aerospace Studies