Nettet5. jan. 2024 · This paper develops a robotic object grasping technique that combines computer vision-based object detection/recognition/localization and a deep reinforcement learning algorithm with self-learning capability. Figure 1 shows the schematic diagram of the robotic pick-and-place system developed in this paper. Nettet12. feb. 2024 · The development of soft hands is an important progress to empower robotic grasping with passive compliance while greatly decreasing the complexity of control. Despite the advances during...
Deformation Modeling of Compliant Robotic Fingers Grasping Soft Objects ...
NettetGrasping motions can quickly be adapted if the object moves or deforms. Soft-grasping with an anthropomorphic hand is a great capability for robots interacting with objects … NettetDesigning soft grippers with substantial grasping strength while remaining compliant and gentle is one of the most important challenges in this field. In this paper, we present a light-weight, vacuum-driven soft robotic gripper made of an origami “magic-ball” and a flexible thin membrane. We also describe the design… Show more myed school login
Robust proprioceptive grasping with a soft robot hand
Nettet22. des. 2024 · Abstract and Figures We developed an anthropomorphic multi-finger artificial hand for a fine-scale object grasping task, sensing the grasped object’s shape. The robotic hand was created... Nettet30. jan. 2024 · In this work, the problem of grasping novel objects with an anthropomorphic hand-arm robotic system is considered. In particular, an algorithm for learning stable grasps of unknown objects has been developed based on an object shape classification and on the extraction of some associated geometric features. NettetABSTRACT. We present a 3D deep convolutional neural network (3D CNN) approach for grasping unknown objects with soft hands. Soft hands are compliant and capable of … officeworks photo printing book