Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …

Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Learning manipulation skills from open surgery provides more flexible access to the organ
targets in the abdomen cavity and this could make the surgical robot working in a highly …

In this article, an admittance-based controller for physical human-robot interaction (pHRI) is
presented to perform the coordinated operation in the constrained task space. An …

This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …

Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …

The rapid development of robotic technology makes transforming from manual activities to
human–robot collaboration (HRC) possible in construction. An HRC system can improve …

In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …

With the development of robotics, the application of robots has gradually evolved from
industrial scenes to more intelligent service scenarios. For multitasking operations of robots …

In this paper, an admittance adaptation method has been developed for robots to interact
with unknown environments. The environment to be interacted with is modeled as a linear …