A study on MHA* and heuristic diversity for rover navigation.
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Updated
Jan 13, 2026 - Jupyter Notebook
A study on MHA* and heuristic diversity for rover navigation.
Backend implementation of the Mars Rover navigation problem using Python and Object-Oriented Programming.
🌑 Detection & characterization of subsurface water-ice in lunar South-Pole doubly-shadowed craters (Faustini) from Chandrayaan-2 DFSAR radar (CPR>1 ∧ DOP<0.13) fused with 26 multi-sensor datasets, with landing-site, energy-aware rover-traverse & top-5m ice-volume planning. ISRO BAH 2026 PS8.
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