To get updates from our aUToronto self-driving car team, please visit this page.
Dynamic Systems Lab News
What do robots need to work with and around people? We are co-organizing an RSS21 workshop, Robotics for People Workshop (R4P): Perspectives on Interaction, Learning and Safety. There are 2 more days to submit!
R4P 2021 at RSS 2021 - Call for Papers
sites.google.com
Submission Format The workshop welcomes extended abstracts (max 2 pgs) and short or position papers (max 4 pgs excluding references) in the same format as RSS (IEEE two column, PDF, template available...
What are the fundamental questions for machine learning in the closed loop? Are you following the first day of #AVWorkshop2021?
See the live stream: www.youtube.com/watch?v=e7tQAFW9ys0
Program: robotics.utoronto.ca/av-workshop-2021/
UofT Robotics Institute on LinkedIn: #AVWorkshop2021
www.linkedin.com
What are the fundamental questions for machine learning in the closed loop? Angela Schoellig from the Dynamic Systems Lab presents at our #AVWorkshop2021...Congrats to our self-driving car team aUToronto for winning Year 4 of the AutoDrive Challenge, which included more advanced autonomy, simulation and safety challenges! Next year, we will be back: as one of 10 teams of AutoDrive II.
news.engineering.utoronto.ca
A team of more than 70 undergraduate and graduate students has designed and built an award-winning autonomous electric vehicleLive in 100 minutes (Fri June 11, 11am EDT): Carlo Sferrazza will give a talk on "Data-driven, vision-based tactile sensing: design, simulation, and applications to robot control" at the U of T Robotics Institute.
Register for the U of T Robotics Institute's 2021 Autonomous Vehicles Workshop on June 15 and 16! See the exciting keynotes from Raquel Urtasun (UofT & Waabi) and Drago Anguelov (Waymo) as well as faculty talks and student presentations including Angela Schoellig and her students.
2021 AV Workshop - University of Toronto Robotics Institute
robotics.utoronto.ca
Sponsored by Register on EventBrite Come and network with Toronto’s growing AV ecosystem. Join us on June 15 and June 16 for the 2021 Autonomous Vehicles Workshop — a two-day colloquium featuri...
Happening tomorrow: See Prof. Angela Schoellig's talk along with the aUToronto team at the Vector Institute's Mobility Symposium.
(open to Vector Institute affiliated groups)
vectorinstitute.ai
Join the Vector Institute to explore the impact of artificial intelligence (AI) on the new era of mobility. This online, half-day symposium will feature technical talks and a panel discussion with ...
Robustness is important for localization, especially for noisy radio frequency (RF) sensors. Read about our robust Kalman filter implementation in the crazyflie-firmware open-source project for UWB-based indoor localization in this Bitcraze blog post.
Robust Kalman Filter for Ultra-wideband Localization | Bitcraze
www.bitcraze.io
2021-06-07 | Wenda Zhao | Leave a comment This week we have a guest blog post from Wenda Zhao, Ph.D. candidate at the Dynamic System Lab (with Prof. Angela Schoellig), University of T...
ICYMI: In case you were unable to watch our ICRA2021 virtual presentations, you can find presentation videos in this playlist
youtube.com/playlist?list=PL-QAFoPUrdcootn4hWXGVantKYIZSJdt7
youtube.com/playlist?list=PL-QAFoPUrdcootn4hWXGVantKYIZSJdt7
Check out our ICRA2021 talk on Tuesday!
When: Tuesday June 1, 2021 15:00-15:15 EDT (UTC-4)
Where: TuJT23: Aerial Robotics: Learning and Adaptive Systems
What: We present our work on ultra-wideband (UWB) time-difference-of-arrival (TDOA) positioning systems. With a trained 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 and yield an average of 42.08% localization error reduction.
