Discusses the workshop on learning manual skills in humans and robots, emphasizing the necessity of robots learning skills and efficient time management during the sessions.
Explores interregional interactions in the motor system, including anatomical connections, functional networks, and the impact of reward on motor learning.
Delves into modeling human motor skills for enhancing motion planning in robotics, covering recent advancements, functional PCA, and obstacle avoidance.
Delves into human-robot interactions through interpersonal manual tasks, revealing insights on performance differences and adaptation in human behavior.
Presents a motor control experiment involving color-based finger tapping tasks and error tracking, revealing insights into skill practice and multitasking challenges.
