Robot manipulation and grasping mechanisms have received considerable attention in the
recent past, leading to development of wide-range of industrial applications. This paper …

The human–robot collaboration (HRC) solutions presented so far have the disadvantage
that the interaction between humans and robots is based on the human's state or on specific …

Robotic manipulation with a nontrivial object providing various types of grasping points is of
an industrial interest. Here, an efficient method of simultaneous detection of the grasping …

Purpose Scattered parts are laid randomly during the manufacturing process and have
difficulty to recognize and manipulate. This study aims to complete the grasp of the scattered …

In this letter, we propose a novel framework for tactile-based dexterous manipulation
learning with a blind anthropomorphic robotic hand, ie without visual sensing. First, object …

This paper presents a novel probabilistic distributed framework based on movement
primitives for flexible robot assembly. Since the modern advanced industrial cell usually …

In manufacturing, traditional task pre-programming methods limit the efficiency of human–
robot skill transfer. This paper proposes a novel task-learning strategy, enabling robots to …

Augmented reality (AR) has shown potential for aiding users in their assembly tasks. It
provides a magic-lens view of the physical object. Thus, assembly tasks become less …

The complexity of surgical operation can be released significantly if surgical robots can learn
the manipulation skills by imitation from complex tasks demonstrations such as puncture …

Articulation via target-oriented approaches have been commonly used in robotics.
Movement of a robotic arm can involve targeting via a forward or inverse kinematics …