Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Explores flexible guiding principles for rectilinear movements and suppression of internal degrees-of-freedom in mechanisms, including corner cube mechanisms and butterfly pivot.
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.
