Junqi Shan — accepted AI-conference papers

2026

PegasusFlow: Parallel Rolling-Denoising Score Sampling for Robot Diffusion Planner Flow Matching

Lei Ye, Haibo Gao, Peng Xu, Zhelin Zhang, Wei Zhang, Junqi Shan +4

ICRA 2026poster

Diffusion models offer powerful generative capabilities for robot trajectory planning, yet their practical deployment on robots is hindered by a critical bottleneck: reliance on imitation learning from expert demonstrations. This paradigm is often impractical for specialized robots where data is sca…

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2024

Enhancing Cooperative Exploration and Planning: UAV-Legged Robot Synergy

Zhengyang Li, Peng Xu, Liang Ding, Junqi Shan, Wenyan Yang, Zongquan Deng +3

RA-L 2024

Specialized robots, such as legged robots and unmanned aerial vehicles (UAVs), are commonly regarded as effective platforms for aiding in search and rescue (SAR) missions. However, existing approaches often decouple the tasks between UAVs and legged robots, for instance, using UAVs for mapping and l

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