Introduces the basics of robotics, covering definitions, classifications, and statistics, and explores the evolution and applications of different types of robots.
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.
Explores the boundary between hard coding and learning in robotics, emphasizing the importance of co-designing robotic hands and manipulation approaches to exploit environmental constraints.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Explores motor neuroprosthetics, covering peripheral nervous system, motor decoding, robotic hands, and sensory feedback through advanced techniques and implantable systems.
