3 papers
cs.SI2026
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization
Qianshi Wang, Xilong Qu, Wenbin Pei +2
Influence maximization (IM) is a fundamental problem in complex network analysis, with a wide range of real-world applications. To date, existing approaches to influential node ide…
cs.RO2025
START: Traversing Sparse Footholds with Terrain Reconstruction
Ruiqi Yu, Qianshi Wang, Hongyi Li +4
Traversing terrains with sparse footholds like legged animals presents a promising yet challenging task for quadruped robots, as it requires precise environmental perception and ag…
cs.RO2025
Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds
Ruiqi Yu, Qianshi Wang, Yizhen Wang +3
Traversing risky terrains with sparse footholds presents significant challenges for legged robots, requiring precise foot placement in safe areas. To acquire comprehensive exteroce…