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Dynamic Systems Lab News
Our IROS workshop on Safe Robot Autonomy is only a few days away! Join us live next Monday (Sept. 27) 10:10 am ET at the Youtube Livestream tiny.cc/safe-robotics-panel. We hope to see you all and await your questions for our panelists here tiny.cc/safe-robotics-panel-q! ... See MoreSee Less
Join us on September 27 at the IROS Workshop on Safe Real-World Robot Autonomy! Check out our program and add your questions for the panelists here: www.dynsyslab.org/safe-real-world-robot-autonomy/ Early registration closes September 5! ... See MoreSee Less
Our review paper on **Safe Learning in Robotics** is out, including open-source code. Wondering how model-driven and data-driven approaches can work together to achieve safe learning? Check out the paper! We review approaches from both the controls and the reinforcement learning communities. arxiv.org/abs/2108.06266
We will post more snippets of the paper over the coming weeks 🙂
University of Toronto Engineering ... See MoreSee Less
We are organizing a NeurIPS 2021 workshop on Deployable Decision Making in Embodied Systems (DDM). Check out the exciting lineup of speakers and how you can contribute workshop papers: www.dynsyslab.org/deployable-decision-making-in-embodied-systems/ ... See MoreSee Less
Robotic systems are expected to guarantee high performance despite being deployed in unknown and dynamic environments. We combine robust model predictive control with L1 adaptive control for guaranteed fast and accurate stabilization in the presence of model uncertainties.
Paper: www.dynsyslab.org/wp-content/papercite-data/pdf/pereida-ijrnc21.pdf ... See MoreSee Less
Fusion of data from ultrawideband (UWB) and inertial sensors can provide accurate positioning in GPS-denied areas. Reliable fusion requires calibration of the spatio-temporal offsets. Our work on online calibration of UWB-aided inertial localization systems was accepted at IROS 2021. Paper: www.dynsyslab.org/wp-content/papercite-data/pdf/goudar-iros21.pdf ... See MoreSee Less