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Visual-Aided Obstacle Climbing by Modular Snake Robot.

Carla Cavalcante Koike1, Dianne Magalhães Viana2, Jones Yudi2

  • 1Department of Computer Science, University of Brasília, Brasília 70910-900, Brazil.

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Summary
This summary is machine-generated.

This study simulated snake robots climbing over obstacles. Both proposed algorithms proved viable for real-world testing, paving the way for more complex robotic applications.

Keywords:
climbing robotsimage-guided locomotionsnake robots

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Area of Science:

  • Robotics
  • Mechatronics
  • Artificial Intelligence

Background:

  • Snake robots, or apodal robots, are highly versatile modular robots.
  • Their unique locomotion allows navigation in constrained environments inaccessible to other robot types.

Purpose of the Study:

  • To simulate and evaluate algorithms for snake robot obstacle climbing.
  • To test algorithms parameterized by image-processed obstacle dimensions before physical implementation.

Main Methods:

  • Development of two distinct algorithms for climbing prismatic obstacles.
  • Simulation-based evaluation of algorithm performance using parameterized obstacle dimensions.

Main Results:

  • Both proposed algorithms demonstrated viability for simulated obstacle climbing.
  • The algorithms are suitable for further testing on physical snake robot models.

Conclusions:

  • The simulated algorithms are promising for real-world snake robot applications.
  • Further research is needed for more complex environmental challenges.