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cs.RO2026
Robustness of Robotic Manipulation: Foundations and Frontiers
Yifei Dong, Zhanyi Sun, Lujie Yang +5
Humans and animals exhibit remarkable robustness in physical manipulation, yet robots remain far behind. Progress toward human-level manipulation robustness is hindered by the abse…
cs.RO2022
Augmentation for Learning From Demonstration with Environmental Constraints
Xing Li, Manuel Baum, Oliver Brock
We introduce a Learning from Demonstration (LfD) approach for contact-rich manipulation tasks with articulated mechanisms. The extracted policy from a single human demonstration ge…
cs.RO2022
"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection
Manuel Baum, Oliver Brock
Robotic manipulation behavior should be robust to disturbances that violate high-level task-structure. Such robustness can be achieved by constantly monitoring the environment to o…