5 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
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…