Lectures related to Clutter-resilient Autonomous Mobile Robot Navigation

Explores the architecture of the Global Positioning System (GPS), including satellite orbits, signals, and user segments.

Covers the process of a robot walking on a road.

Shows how Thymio navigates the street using its sensors.

Explores neural navigation mechanisms and the Nobel Prize awarded discoveries.

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

Introduces the rigorous approach to sensor fusion for modern applications.

Covers global navigation, path planning algorithms, cell decomposition, potential field methods, and stigmergy-based path optimization.

Covers the basics of robot simulation and programming using Webots.

Discusses quadrotor navigation using deep reinforcement learning and low-level control, focusing on visual intelligence and gaze model robustness.