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DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
Applications in fields ranging from home care to warehouse fulfillment to surgical assistance require robots to reliably manipulate the shape of 3D deformable objects.
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds
If robots could reliably manipulate the shape of 3D deformable objects, they could find applications in fields ranging from home care to warehouse fulfillment to surgical assistance.
Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
We present an algorithm determining where to relocate objects inside a cluttered and confined space while rearranging objects to retrieve a target object.
Robotics
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