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 …

Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …

Manipulation skill learning and generalisation have gained increasing attention due to the
wide applications of robot manipulators and the spurt of robot learning techniques …

Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

Learning a stable autonomous dynamic system (ADS) encoding human motion rules has
been shown as an effective way for demonstration learning. However, the stability guarantee …

Shared control, which permits a human operator and an autonomous controller to share the
control of a telerobotic system, can reduce the operator's workload and/or improve …

Existing motion planning methods often have two drawbacks:(1) goal configurations need to
be specified by a user, and (2) only a single solution is generated under a given condition. In …

The current dominant paradigm in sensorimotor control, whether imitation or reinforcement
learning, is to train policies directly in raw action spaces such as torque, joint angle, or end …