3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Constraint-aware Path Planning from Natural Language Instructions Using Large Language Models
Dylan Shim, Minghan Wei
Real-world path planning tasks typically involve multiple constraints beyond simple route optimization, such as the number of routes, maximum route length, depot locations, and tas…
Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection
Cheng Peng, Minghan Wei, Volkan Isler
We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that al…
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…
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…