In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

In recent years, human hand‐based robotic hands or dexterous hands have gained
attention due to their enormous capabilities of handling soft materials compared to …

In this letter, we present an approach for learning a neural implicit signed distance function
expressed in joint space coordinates, that efficiently computes distance-to-collisions for …

We propose a structured prediction approach for robot imitation learning from
demonstrations. Among various tools for robot imitation learning, supervised learning has …

A massage robot can aid physicians in treating occupational diseases. While massaging, a
robotic manipulator is required to continuously exert desired force according to the …

Environmental collision is a challenging issue in human–robot collaboration. This article
proposes a novel fuzzy cluster-based framework for robots to have reactive responses to …

Imitation learning is an important direction in the area of robot skill learning. It provides a
user-friendly and straightforward solution to transfer human demonstrations to robots. In this …

When a robot end-effector contacts human skin, it is difficult to adjust the contact force
autonomously in an unknown environment. Therefore, a robot force control algorithm based …

Negative pressure (NP) therapy with bandage compression is the primary conservative
treatment for upper and lower limb lymphedema with great efficacy. With the growing …

To address traditional impedance control methods' difficulty with obtaining stable forces
during robot-skin contact, a force control based on the Gaussian mixture model/Gaussian …