Bamboo GPU Mode: A Game-Theoretic Evolutionary Framework for Resilient Self-Healing Navigation in Extreme Mars DEM Environments

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Authors: hiroaki ueshima
Cited by: 0

Abstract

This work introduces Bamboo GPU Mode, a game-theoretic evolutionary framework designed for resilient autonomous navigation in extreme planetary environments. The proposed method enables autonomous systems to reconstruct coordinated navigation behavior after partial or complete system failure. By integrating sigmoid-parameterized payoff stabilization, phototropic evolutionary mutation, and GPU-parallel computation, the framework demonstrates robust self-healing performance in Mars-like Digital Elevation Model environments under severe sensor noise and terrain disturbance. Simulation results indicate stable recovery behavior and high coordination convergence under conditions where conventional navigation and optimization-based methods tend to fail.

Fields of Study & Subjects

Evolutionary Algorithms and Applications Modular Robots and Swarm Intelligence Reinforcement Learning in Robotics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 January 2026
Language
EN
Document type
Preprint