RSS

Animesh Garg and collaborators win Best Student Paper Award at RSS’21

Monday, October 25, 2021 - 4:50pm

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/

https://www.eurekalert.org/news-releases/790715

https://www.designnews.com/automation/trust-knife-wielding-robot-your-attitude-may-change-after-seeing