17 citations · 27 across the 4 of their papers we have counts for
4 papers
BiAIT*: Symmetrical Bidirectional Optimal Path Planning with Adaptive Heuristic
Chenming Li, Han Ma, Peng Xu +2
Adaptively Informed Trees (AIT*) is an algorithm that uses the problem-specific heuristic to avoid unnecessary searches, which significantly improves its performance, especially wh…
Enhance Connectivity of Promising Regions for Sampling-based Path Planning
Han Ma, Chenming Li, Jianbang Liu +2
Sampling-based path planning algorithms usually implement uniform sampling methods to search the state space. However, uniform sampling may lead to unnecessary exploration in many…
Relevant Region Sampling Strategy with Adaptive Heuristic for Asymptotically Optimal Path Planning
Chenming Li, Fei Meng, Han Ma +2
Sampling-based planning algorithm is a powerful tool for solving planning problems in high-dimensional state spaces. In this article, we present a novel approach to sampling in the…
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
Tingguang Li, Danny Ho, Chenming Li +3
As one of the most promising areas, mobile robots draw much attention these years. Current work in this field is often evaluated in a few manually designed scenarios, due to the la…