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Henry Lu

2 accepted papers

2015

Learning force-based manipulation of deformable objects from multiple demonstrations

ICRA 2015poster

Manipulation of deformable objects often requires a robot to apply specific forces to bring the object into the desired configuration. For instance, tightening a knot requires pulling on the ends, flattening an article of clothing requires smoothing out wrinkles, and erasing a whiteboard requires ap…

Cited by 185SourceScholar
2015

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation

IROS 2015poster

Learning from demonstration by means of non-rigid point cloud registration is an effective tool for learning to manipulate a wide range of deformable objects. However, most methods that use non-rigid registration to transfer demonstrated trajectories assume that the test and demonstration scene are…

Cited by 49SourceScholar