Delves into the definition and capabilities of robots based on various sources.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Details a program guiding a robot back to base on Mars.
Covers the process of building a custom Arduino robot, including understanding the components, connections, and programming.
Explains how a robot changes color and behavior based on different conditions using a timer.
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
Explains how a robot maintains a constant distance from an obstacle.
Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.
