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Dynamic Systems Lab News
There is an exciting workshop at ICML today on Reinforcement Learning (RL) for Real Life. Prof. Angela Schoellig will be part of a panel on RL and Robotics with other amazing fellow roboticists. Join us at 1-2PM EDT, July 23.
Join us tomorrow at the #RSS2021 Workshop on Robotics for People (R4P): Perspectives on Interaction, Learning and Safety!
Keynotes: Yiannis Demiris, Stefanie Tellex, Dan Bohus, Changliu Liu
Panelists: Cynthia Matuszek, Dorsa Sadigh, Chelsea Finn, and Guy Hoffman
See the link below for more information:
sites.google.com
Overview Robots are increasingly being designed, built, and programmed for tasks that require operating in proximity to, or even in tandem with, humans and other agents. These task settings are often ...Prof. Angela Schoellig recently presented a Keynote lecture about "Machine Learning for Robotics: Safety, Data Efficiency, and Fast Adaptation" at the Alexander von Humboldt Foundation's 2021 Annual Meeting. See it here:
Toronto is [in]famous for its winter driving conditions, which create unique challenges for self-driving. With support from the Ontario Research Fund (ORF) and industry partners, our lab is happy to be a part of WinTOR: Autonomous Driving in Adverse Conditions, a partnership that aims to transform Toronto into a global hub for research related to self-driving in the winter.
news.engineering.utoronto.ca
U of T Engineering joins with four leading companies to develop new technologies to make autonomous vehicles more resilient in the face of snow, ice and other challenges
Physically embodied AI requires implementing and comparing control theory and reinforcement learning algorithms on realistic mobile robot platforms. Our proposal for an open-source PyBullet-based Gym environment for multiple quadcopters was just accepted at IROS 2021. Let it Fly!
Paper: arxiv.org/abs/2103.02142
GitHub: github.com/utiasDSL/gym-pybullet-drones
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.
