Presents the 'Mission 2 on Mars' project involving robot control and repair tasks.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
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.
Delves into the definition and capabilities of robots based on various sources.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Introduces control basics, real-time programming, interrupts, and sensor networks in embedded systems, emphasizing resource management and real-time constraints.
Covers the process of building a custom Arduino robot, including understanding the components, connections, and programming.
