… We point out that intelligent control technologies and imitation learning methods are …
Human-like behavior of robot arms:general considerations and the handwriting task-Part II:the robot …

… the key to realize behavior characteristic … behavior process representation model,
modeling language and tool, model validation and behavior process optimization of human-machine …

… the machine learning methods of human-robot interaction in … human-robot interaction, the
relationship between the human… Learning driver behavior models from traffic observations for …

… to perform complex tasks and behaviors directly from raw … From the perspective of humanoid
robots, if we want to reach … PID controller and a reinforcement learning control. Both controls …

… to perform complex tasks and behaviors directly from raw sensor … , reinforcement learning
and deep reinforcement learning … This work focuses on humanoid robot control of twowheeled …

… Furthermore, for robot behavior … humanoid robot using the deep reinforcement learning
algorithm for the first time. At this part, we proposed a Deep Q-Learning algorithm to train a deep …

… human-robot collaboration control problem is investigated by Gaussian process regression
and deep reinforcement learning … model of robot for human control behaviors, which can …

… Behavioral control task supervisor with memory based on reinforcement learning for
human–multi-robot coordination systems[J]. Frontiers of Information Technology & Electronic …