3 accepted papers
In this work, we describe a multi-object grasping benchmark to evaluate the grasping and manipulation capabilities of robotic systems in both pile and surface scenarios. The benchmark introduces three robot multi-object grasping benchmarking protocols designed to challenge different aspects of robot
Humans can easily manipulate soft, deformable objects, relying on the intrinsic deformability of their fingerpads and their capabilities to infer item compliance. Transferring these skills into robotic systems is still an open challenging task. Recently, the introduction of soft biomimetic tactile s
Soft tactile optical sensors have opened up new possibilities for endowing artificial robotic hands with advanced touch-related properties; however, their use for compliance discrimination has been poorly investigated and mainly relies on data-driven methods. Discrimination of object compliance is c