A simple gripper can solve more complex manipulation tasks if it can utilize the external
environment such as pushing the object against the table or a vertical wall, known as" …

Constraining contacts to remain fixed on an object during manipulation limits the potential
workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is one …

Robotic hands have long strived to reach the performance of human hands. The physical
complexity and extraordinary capabilities of the human hand, in terms of sensing, actuation …

Humans possess dexterous hands that surpass those of other animals, enabling them to
perform intricate, complex movements. Soft hands, known for their inherent flexibility, aim to …

We propose a Deep Interaction Prediction Network (DIPN) for learning to predict complex
interactions that ensue as a robot end-effector pushes multiple objects, whose physical …

This article develops a robotic manipulation planner for human–robot collaborative
assembly. Unlike previous methods that study an independent and fully artificial intelligent …

This paper introduces RoTipBot, a novel robotic system for handling thin, flexible objects.
Different from previous works that are limited to singulating them using suction cups or soft …

We propose a new technique for pushing an unknown object from an initial configuration to
a goal configuration with stability constraints. The proposed method leverages recent …

Despite the major interest in the field of Human–Robot Interaction (HRI) in recent years, not
much work has been presented on physical HRI (pHRI), especially for robot-initiated contact …

This study aims to achieve autonomous robotic assembly under uncertain conditions arising
from imprecise goal positioning and variations in the angle of the grasped part. Soft robots …