Chengqian Zhang — accepted AI-conference papers

2026

A Precise Real-Time Force-Aware Grasping System for Robust Aerial Manipulation

Kenghou Hoi, Yuze Wu, Annan Ding, Junjie Wang, Anke Zhao, Jialiang Hou +2

ICRA 2026poster

Aerial manipulation requires force-aware capabilities to enable safe and effective grasping and physical interaction. Previous works often rely on heavy, expensive force sensors unsuitable for typical quadrotor platforms, or perform grasping without force feedback, risking damage to fragile objects.…

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2026

Online Velocity Estimation of a Robotic Fish Using Artificial Lateral Line System with Velocity-Decoupling Sensing Ability

Jiarui He, Yan Zhou, Chengqian Zhang, Huangzhe Dai, Daofan Tang, Chengfeng Pan +1

ICRA 2026poster

The robotic fish has attracted widespread research interest over the past few decades, due to its outstanding agility and environmental friendliness. And the sensing ability of underwater environments is crucial for the robotic fish to accomplish various underwater tasks. Inspired by the lateral lin…

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