A GPT-4V-based terrain classifier lets a simulated Mars rover switch between fast, obstacle-avoiding, and conservative navigation modes, cutting traverse time by 79.5% compared with always-conservative driving.
Mars curiosity rover mobility trends during the first 7 years.Journal of Field Robotics, 38(5):759–800, 2021
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VLM-Empowered Multi-Mode System for Efficient and Safe Planetary Navigation
A GPT-4V-based terrain classifier lets a simulated Mars rover switch between fast, obstacle-avoiding, and conservative navigation modes, cutting traverse time by 79.5% compared with always-conservative driving.