activity
20232026
most citedNav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

5 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

Teng Wang, Haojun Jiang, Chenxi Li +6

Echocardiography is critical for diagnosing cardiovascular diseases, yet the shortage of skilled sonographers hinders timely patient care, due to high operational difficulties. Con…

cs.RO2024★ 1 cited

Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments

Qingquan Lin, Weining Lu, Litong Meng +2

For tasks conducted in unknown environments with efficiency requirements, real-time navigation of multi-robot systems remains challenging due to unfamiliarity with surroundings.In…

cs.RO2024★ 5 cited

Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

Chenxi Li, Weining Lu, Qingquan Lin +3

This paper proposes a lightweight systematic solution for multi-robot coordinated navigation with decentralized cooperative perception. An information flow is first created to faci…

cs.RO2024★ 1 cited

Highly Efficient Observation Process based on FFT Filtering for Robot Swarm Collaborative Navigation in Unknown Environments

Chenxi Li, Weining Lu, Zhihao Ma +2

Collaborative path planning for robot swarms in complex, unknown environments without external positioning is a challenging problem. This requires robots to find safe directions ba…

cs.RO2023★ 3 cited

Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network

Weining Lu, Qingquan Lin, Litong Meng +2

Multiple mobile robots play a significant role in various spatially distributed tasks.In unfamiliar and non-repetitive scenarios, reconstructing the global map is time-inefficient…