Animesh Garg and collaborators win Best Student Paper Award at RSS’21
Professor Animesh Garg and his student co-authors -- Eric Heiden, Miles Macklin, Yashraj S Narang, Dieter Fox and Fabio Ramos -- won the Best student paper award at Robotics Systems and Science for paper DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting: https://robotics.utoronto.ca/news/uoft-robotics-at-rss21/
This work was also covered by several news agencies:
https://developer.nvidia.com/blog/nvidia-research-disect-a-differentiable-simulation-engine-for-autonomous-robotic-cutting/