Subsumption architecture for cognitive control

Related lectures (31)

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

Explores hierarchical control concepts in robotics, including switching, prioritizing, and information chains, to achieve complex robot behaviors.

Showcases how the subsumption architecture constructs a robust design in a mobile robot.

Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.

Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.

Covers the basics of robot simulation and programming using Webots.

Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.

Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.

Covers layered control architectures from vertebrates to robots, including deliberative control and its drawbacks.

Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.