Humans can teleoperate robots to accomplish complex manipulation tasks. Imitation
learning has emerged as a powerful framework that leverages human teleoperated …

In this overview of recent developments in the field of biorobotics we cover the
developments in materials such as the use of polyester fabric being used as artificial skin …

Mapping human hand motion to robotic hands has great significance in a wide range of
applications, such as teleoperation and imitation learning. The ultimate goal is to develop a …

Depth cues are crucial to increase user perception and spatial awareness of the remote
environment when remotely guiding complex robotic systems. A mixed reality (MR) …

Soft robot has been one significant study in recent decades and soft gripper is one of the
popular research directions of soft robot. In a static gripping system, excessive gripping force …

Teleoperation robot systems can help humans perform tasks in unstructured environments.
However, non-intuitive control interfaces using only a keyboard or joystick and physiological …

Teleoperation of manipulators has allowed extending the human skills to several areas,
where the commands generated by a human operator on the leader robot are followed by a …

Collaborative robots are predicted to interact physically with humans in human-cyber-
physical systems (HCPSs). Robotic hands are able to record force and temperature …

Teleoperated robots have attracted significant interest in recent years, and data gloves are
one of the commonly used devices for their operation. However, existing solutions still …

Hand− tracking systems are widely employed for telemanipulating grippers with high
degrees of freedom (DOFs) such as an anthropomorphic robotic hand (ARH). However …