Abstract: In this work, we investigate how a state-of-the-art grasp planner based on deep reinforcement learning performs when applied to a soft–rigid gripper in a decluttering task. The gripper, called Soft ScoopGripper (SSG), is endowed with a rigid scoop-shaped part that facilitates the interaction with the environment and with objects. We hypothesize that the clever … [Read more...] about Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks: Gripper Design Boosts Learning
Fingers
Variable Stiffness, Sensing, and Healing in FESTO’s FinRay Gripper: An Industry-Driven Design
Soft grippers' rising popularity in industries is due to their impressive adaptability. Yet, this adaptability requires flexibility which often sacrifices grip firmness and complicates sensor integration. This paper introduces two additional innovations, variable stiffness and pneumatic sensing, into a FinRay adaptive gripper. The approach and design for incorporating these … [Read more...] about Variable Stiffness, Sensing, and Healing in FESTO’s FinRay Gripper: An Industry-Driven Design
A Nitinol-Embedded Wearable Soft Robotic Gripper for Deep-Sea Manipulation: A Wearable Device for Deep-Sea Delicate Operation
Soft robotic gripper systems that can safely and nondestructively collect biological and artifact samples and perform deep-sea manipulation tasks are essential for deep-sea science and engineering applications. In this article, we implement a soft robotic gripper composed of nitinol-embedded soft fingers and an in situ wearable mechanism, which allows the soft gripper to be put … [Read more...] about A Nitinol-Embedded Wearable Soft Robotic Gripper for Deep-Sea Manipulation: A Wearable Device for Deep-Sea Delicate Operation
