3 accepted papers
Robotic grippers face substantial challenges in grasping and manipulating thin objects. Most existing grippers rely on highly precise approach and grasp motions, which limits robustness and reduces applicability. This paper explores thin-object grasping using books as a representative example. Here,…
Achieving stable, sustained grasping with soft robotic hands remains a fundamental challenge. Compliance enables safe and adaptive contact, yet the intrinsic viscoelasticity of soft polymers leads to stress relaxation and a continuous decay of grasping force during holding. Inspired by human graspin…
Due to the irregularity of 3D point clouds, it is extremely challenging to detect the most salient objects from them and segment contours. DSFormer is proposed for 3D salient object detection, addressing challenges like small objects, multiple objects and complex backgrounds. It employs an encoder-d…