Subsumption architecture

Applied sciences
Information engineering
Machine learning
Artificial neural networks

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Related lectures (10)

Subsumption Architecture: Main Aspects Summary

Explores the main aspects of the Subsumption Architecture, its challenges, and limitations.

Reactive Agents: Decision Processes

Explores reactive agents and decision processes, covering topics such as Markov Decision Processes and real-time agents.

Motor Control in Vertebrates

Explores the hierarchical organization of motor control in vertebrates and layered control architectures.

Layered control: Motor control in vertebrates to robots

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

Finite State Machines: Implementation and Subsumption Architecture

Explores finite state machines, subsumption architecture, obstacle avoidance, and robot kinematics in robotics.

Hierarchical Control in Robotics

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

Layered control: Motor control in vertebrates to robots

Explores layered control architectures from vertebrates to robots, highlighting the challenges of breaking tasks into smaller sub-tasks.

Subsumption Architecture: Implementation Example

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

Subsumption architecture for cognitive control

Covers the Subsumption Architecture, a layered control system for mobile robots to operate at increasing levels of competence by suppressing lower level outputs.

Modern behaviour architectures

Covers the integrated Behavior-Based Control architecture for developing complex robotic systems.

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