Awards
Awards Committee
Tamim Asfour (KIT), Fabio Ramos (University of Sydney), Dorsa Sadigh (Stanford University)
Best Paper Award Winner
Tao Chen, Jie Xu, Pulkit Agrawal
“The sheer scope and variation across objects tested with this method, and the range of different policy architectures and approaches tested makes this paper extremely thorough in its analysis of this reorientation task.”
Best System Paper Award Winner
Huy Ha, Shuran Song
“To me, this paper constitutes the most impressive account of both simulated and real-world cloth manipulation to date.”
Best Paper Award Finalists
A System for General In-Hand Object Re-Orientation by Tao Chen, Jie Xu, Pulkit Agrawal
Robot Reinforcement Learning on the Constraint Manifold by Puze Liu, Davide Tateo, Haitham Bou Ammar, Jan Peters
Learning Off-Policy with Online Planning by Harshit Sikchi, Wenxuan Zhou, David Held
XIRL: Cross-embodiment Inverse Reinforcement Learning by Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi
Best System Paper Award Finalists
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding by Huy Ha, Shuran Song
SORNet: Spatial Object-Centric Representations for Sequential Manipulation by Wentao Yuan, Chris Paxton, Karthik Desingh, Dieter Fox
Fast and Efficient Locomotion via Learned Gait Transitions by Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots