Delves into human-robot interactions through interpersonal manual tasks, revealing insights on performance differences and adaptation in human behavior.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers corrected exercises from the 2020 exam in the field of robotics, including topics such as accuracy, speed, DC motors, optimal gear ratio, dynamics of robot arms, encoders, and kinematics.
Delves into self-reconfigurable modular robots, discussing advantages, design concepts, planning strategies, and challenges in motion planning and search algorithms.
Investigates sensorimotor control in locomotion using robots and mathematical models, exploring bimodal locomotion, insect walking, and undulatory swimming.
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.
