3 papers
cs.RO2025
Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM
Neng Wang, Huimin Lu, Zhiqiang Zheng +3
Accurate and robust simultaneous localization and mapping (SLAM) is crucial for autonomous mobile systems, typically achieved by leveraging the geometric features of the environmen…
cs.RO2024
A Novel Multi-Gait Strategy for Stable and Efficient Quadruped Robot Locomotion
Daoxun Zhang, Xieyuanli Chen, Zhengyu Zhong +3
Taking inspiration from the natural gait transition mechanism of quadrupeds, devising a good gait transition strategy is important for quadruped robots to achieve energy-efficient…
cs.RO2024
SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM
Neng Wang, Xieyuanli Chen, Chenghao Shi +3
Loop closing is a crucial component in SLAM that helps eliminate accumulated errors through two main steps: loop detection and loop pose correction. The first step determines wheth…