Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
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.
Covers the basics of robotics, classifications, performances, and control algorithms in the manufacturing industry.
Explores the state of robotics research, covering interdisciplinary challenges, sensor technologies, and human-robot collaboration architectures.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
Explores hydraulic, pneumatic, and electromechanical actuators used in robotics, including stepper motors and specific energy comparisons.
