robotics
The Rover Paid for Every Meter and Every Measurement
Expected free energy let a simulated explorer map uncertainty and seek high-value regions under a hard travel budget.
Summary
Expected free energy let a simulated explorer map uncertainty and seek high-value regions under a hard travel budget.
The planner maintains a Gaussian-process belief over an unknown information field and chooses continuous trajectories that trade map improvement against reaching valuable regions. Across multiple simulated realizations, the expected-free-energy objective outperformed information-only baselines under the same path-length constraints. The authors frame Mars water prospecting as an example; the work demonstrates a planning principle in simulation, not an operational planetary mission.
Why it matters
Expected free energy let a simulated explorer map uncertainty and seek high-value regions under a hard travel budget.
Limits and context
- Across multiple simulated realizations, the expected-free-energy objective outperformed information-only baselines under the same path-length constraints.
- The authors frame Mars water prospecting as an example; the work demonstrates a planning principle in simulation, not an operational planetary mission.
Key claims
Expected free energy let a simulated explorer map uncertainty and seek high-value regions under a hard travel budget.
Qualification: Across multiple simulated realizations, the expected-free-energy objective outperformed information-only baselines under the same path-length constraints.
Evidence: source-2026-08-17-013
Sources
- arXiv preprint 2608.14466arXiv · primary research
Corrections
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