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