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About this paper
Miryeong Park, Dongjin Cho, Sanghyun Kim, Younggun Cho
A confidence-aware exploration planner for planetary robots, CUTE-Planner, enables safe navigation in uneven terrain while actively improving environmental map reliability. It achieved a 100% mission success rate in simulated lunar environments and reduced low-confidence map regions by up to 69% compared to baseline methods.
Key insights
- Actively guiding a robot to explore low-confidence, yet traversable, regions significantly improves the reliability of generated terrain maps over time.
- Integrating real-time elevation uncertainty (variance) into the exploration planning objective allows for more robust and safer navigation decisions in unknown, complex environments.
- The proposed 'low-confidence region ratio' serves as an effective metric to quantify the reliability of environmental maps, which is critical for long-term autonomous missions.
Summary by alphaXiv.
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