Concept

Swarm robotics

Related lectures (31)

Covers the basics of Aseba Studio for writing and managing robot programs.

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Explores learning, adaptive control, cutting soft tissue, and robotic implementation for robots.

Showcases a robot navigating a road using sensors to avoid collisions.

Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.

Covers the Theoreus Chain Role for Lipschitz functions and its practical applications.

Explores Kalman filters, flocking behaviors, and decentralized control in distributed intelligent systems.

Covers the anatomy, programming, building, and ethical aspects of robotics.

Explains how a robot maintains a constant distance from an obstacle.

Explains how a robot changes color and behavior based on different conditions using a timer.

Delves into the educational potential of robotics, focusing on programming Thymio for learning purposes.