Finite State Machines: Sensing and Reacting with Thymio

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Covers the integration of visual perception and robotic actions in embodied AI.

Explores challenges and future directions of collaborative robots in real-world scenarios from a human-centric perspective.

Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.

Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.

Explores how Thymio interacts with its environment using sensorimotor loops.

Explores learning and adaptive control for robots, focusing on challenges, path planning with dynamical systems, and real-time planning applications.

Explores real-time operating systems and communication mechanisms for controlling robots.

Covers the essential components of a robot and various programming languages available for robots.

Delves into the definition and capabilities of robots based on various sources.

Explores the concept of robots, defined as mechatronic devices designed to automatically perform tasks imitating human actions.