3 citations · 3 across the 5 of their papers we have counts for
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cs.RO2026
Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification
Zhengbang Yang, Md. Tasin Tazwar, Minghan Wei +1
Robotic path planning problems are often NP-hard, and practical solutions typically rely on approximation algorithms with provable performance guarantees for general cases. While d…
cs.RO2022
Predicting Energy Consumption of Ground Robots On Uneven Terrains
Minghan Wei, Volkan Isler
Optimizing energy consumption for robot navigation in fields requires energy-cost maps. However, obtaining such a map is still challenging, especially for large, uneven terrains. P…
cs.RO2019★ 3 cited
Energy-efficient Path Planning for Ground Robots by Combining Air and Ground Measurements
Minghan Wei, Volkan Isler
As mobile robots find increasing use in outdoor applications, designing energy-efficient robot navigation algorithms is gaining importance. There are two primary approaches to ener…