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Author

Jiankun Wang

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Oct 2026

Simultaneous obstacle avoidance and trajectory tracking for multi-robot systems via acceleration-level motion planning

Considerable attention has been directed toward collision-free trajectory tracking in multi-robot systems, for which CBFs have been widely adopted as a safety-critical tool. However, existing CBF methods are constrained by their dependence on maximum braking estimation. Moreover, effective deadlock resolution is often...

Xiao-Xiao Li, Zhi-Qiang Sun, Hong-Peng Wang et al. · 0 citations
Open access Sep 2026

A Model-Based Joint Feature Fusion framework for limited-view photoacoustic tomography reconstruction

In photoacoustic tomography (PAT) reconstruction, imaging systems with limited-view detection geometries capture acoustic signals over restricted angular ranges, which results in reconstruction artifacts and degraded image quality. Model-based iterative methods can effectively compensate for limited-view artifacts, but...

Bi-Ru Zhang, Jian-Kun Wang, M. Q. Meng · 0 citations
Preprint Aug 2026

CrossTracer: Cross-Embodiment Navigation via VLA Model Reasoning and Trace Residuals Adapting

Vision-language-action (VLA) models provide strong semantic priors for robot navigation, but they often ignore embodiment-specific mobility constraints. A path that is semantically plausible for one robot may be physically infeasible for another. We propose CrossTracer, a hierarchical framework for cross-embodiment nav...

Yao Wang, Siyuan Wang, Zhi-Qiang Sun et al. · 1 citation
Preprint Aug 2026

Exposing the Long-tail in Embodied Urban Navigation via Scalable Learning from In-the-Wild Videos

Learning embodied urban navigation policies from real-world data is constrained by the cost of task-specific data collection and the limited coverage of rare yet safety-critical scenarios. To address these challenges, we present a scalable framework for learning point-goal urban navigation from web-scale in-the-wild eg...

Bingyi Xia, Han Bao, Zhe-Wei Chen et al. · 0 citations
Open access Aug 2024

LSTP-Nav: Lightweight Spatiotemporal Policy for Map-Free Multi-Agent Navigation With LiDAR

This paper proposes LSTP-Nav, a lightweight, decentralized navigation framework built on LSTP-Net that maps stacked 2D LiDAR observations, goal information, and velocity feedback directly to action and introduces an HS reward to provide smooth, heading-aware safety feedback, and develops PhysReplay-SimLab to improve tr...

Xingrong Diao, Zhi-Qiang Sun, Jian-Wei Peng et al. · 0 citations

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