Jianjun Chen — accepted AI-conference papers

2026

NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint)

Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen, Shijie Lin +5

AAAI 2026technical

Navigating a nonholonomic robot in a cluttered, unknown environment requires accurate perception and precise motion control for real-time collision avoidance. This article presents neural proximal alternating-minimization network (NeuPAN): a real-time, highly accurate, map-free, easy-to-deploy, and

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2025

Clutter Resilient Occlusion Avoidance for Tightly-Coupled Motion-Assisted Detection

Zhixuan Xie, Jianjun Chen, Guoliang Li, Shuai Wang, Kejiang Ye, Yonina C. Eldar +1

ICASSP 2025accepted

Occlusion is a key factor leading to detection failures. This paper proposes a motion-assisted detection (MAD) method that actively plans an executable path, for the robot to observe the target at a new viewpoint with potentially reduced occlusion. In contrast to existing MAD approaches that may fai…

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