This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …

To improve the compliance and robustness of robots during physical human–robot
interaction (pHRI) and to enhance the success rate and stability of peg-in-hole experiments …

Robot learning has attracted an ever-increasing attention by automating complex tasks,
reducing errors, and increasing production speed and flexibility, which leads to significant …

Haptic devices can replicate real-time force signals, which demand high accuracy and real-
time performance. However, several common factors affect the accuracy of system modeling …

Teleoperation offers the possibility of enabling robots to replace humans in operating within
hazardous environments. While it provides greater adaptability to unstructured settings than …

To achieve psychological inclusion and skill development orientation in human skill training,
this paper proposes a haptic-guided training strategy generation method with Deep …

Imitation learning enables robots to learn and replicate human behavior from training data.
Recent advances in machine learning enable end-to-end learning approaches that directly …

Assistive robotic arms often have more degrees-of-freedom than a human teleoperator can
control with a low-dimensional input, like a joystick. To overcome this challenge, existing …

Interactive robots have gained popularity, yet most are limited to motion, conversation, and
recognition, lacking the ability to autonomously live and adapt like humans. This paper …

Teleoperated robots are attracting attention as a solution to the pressing labor shortage. To
reduce the burden on the operators of teleoperated robots and improve manpower …