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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.
Introduces the design of space mechanisms, covering satellites, spacecraft functions, and practical aspects, emphasizing the importance of engineering competencies in the space environment.
Covers the concepts of work, energy, and power in physics, including conservative and non-conservative forces, circular motion, and the conservation of mechanical energy.
Investigates sensorimotor control in locomotion using robots and mathematical models, exploring bimodal locomotion, insect walking, and undulatory swimming.
