Soft robotics is an exciting field of science and technology that enables robots to manipulate
objects with human-like dexterity. Soft robots can handle delicate objects with care, access …

Compared to traditional rigid-bodied robots, soft robots are constructed using physically
flexible/elastic bodies and electronics to mimic nature and enable novel applications in …

Robotic metamaterials represent an innovative approach to creating synthetic structures that
combine desired material characteristics with embodied intelligence, blurring the …

This letter presents a novel design of a soft tactile finger with omni-directional adaptation
using multi-channel optical fibers for rigid-soft interactive grasping. Machine learning …

Soft robots undergo complex deformations during actuation and interaction due to the
flexibility and compliance of their soft materials. This characteristic presents challenges in …

This paper explores the feasibility of learning robot force control and interaction using soft
metamaterial and machine vision. We start by investigating the differential stiffness of a …

This article presents a novel vision-based proprioception approach for a soft robotic finger
that can estimate and reconstruct tactile interactions in terrestrial and aquatic environments …

Point cloud data provides three-dimensional (3D) measurement of the geometric details in
the physical world, which relies heavily on the quality of the machine vision system. In this …

Grasping parts of inconsistent shapes, sizes and weights securely requires accurate part
models and custom gripper fingers. Compliant grippers are a potential solution; however …

Purpose Mechanoreception is crucial for robotic planning and control applications, and for
robotic fingers, mechanoreception is generally obtained through tactile sensors. As a new …