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Dynamic Systems Lab News

 

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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

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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University of Toronto Institute for Aerospace Studies