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