Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.
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 programming a robot to avoid obstacles and continue its path accordingly.
