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Author

Chenxuan Ma

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Open access Aug 2026

SFPathFormer for spatial frequency robot navigation and obstacle avoidance

In complex and dynamic environments, robot path planning and obstacle avoidance often suffer from significant perception noise, severe feature redundancy, and insufficient global environment structure modeling. To address these challenges, this paper proposes a vision-driven robot navigation and obstacle avoidance fram...

Zhenghao Hu, Chenxuan Ma · 0 citations
Open access Jul 2026

BeMapper: BicNet and evolutionary-based multi-agent path planning with effective reinforcement.

BeMapper is a novel evolutionary-augmented reinforcement learning framework that integrates a multi-agent bidirectionally-coordinated network (BicNet) with a distributed actor-critic architecture that incorporates success rate variance to penalize unstable behaviors and resolve credit assignment ambiguity.

Chenxuan Ma, Yizhuo Lei · 0 citations

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