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Related Experiment Videos

Online evolution for a self-adapting robotic navigation system using evolvable hardware.

D Keymeulen1, M Iwata, Y Kuniyoshi

  • 1Electrotechnical Laboratory, Tsukuba, Ibaraki 305-8568, Japan.

Artificial Life
|June 3, 1999
PubMed
Summary
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This study demonstrates how model-based evolution on evolvable hardware enables real-world mobile robots to autonomously adapt and track targets in dynamic environments. This approach significantly reduces necessary environmental interactions for effective self-adaptive systems.

Area of Science:

  • Robotics
  • Artificial Life
  • Evolutionary Computation

Background:

  • Growing interest in applying artificial life principles to physically embedded systems for autonomous adaptation.
  • Development of evolvable hardware (EH) for real-time, autonomous hardware adaptation in changing environments.

Purpose of the Study:

  • To implement and evaluate a navigation task for a real mobile robot using evolvable hardware.
  • To develop a self-adaptive tracking system capable of handling unknown and dynamic environments.

Main Methods:

  • Utilized model-based evolution to reduce environmental interactions for real-world applications.
  • Implemented a navigation system on evolvable hardware for a mobile robot.
  • Tested the system's ability to track a colored ball while avoiding obstacles, even with blinded sensors.

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Main Results:

  • Model-based evolution reduced environmental interactions by two orders of magnitude compared to model-free methods.
  • Successfully demonstrated online evolutionary processes for a self-adaptive tracking system on a real mobile robot.
  • Evolvable hardware accelerated the implementation, enabling real-time adaptation.

Conclusions:

  • Model-based evolution is feasible for real-world robotic applications, significantly reducing the need for extensive environmental interaction.
  • Evolvable hardware provides a powerful platform for accelerating online evolutionary processes, leading to robust, self-adaptive robotic systems.