Silong Zhang — accepted AI-conference papers

2025

AAOPL: Automated Articulated Object Parameter Learning for Open-World Robotics

Ziyang Feng, Quecheng Qiu, Silong Zhang, Jianmin Ji

IROS 2025

Articulated objects are ubiquitous in daily environments, and effective manipulation of these objects is essential for advancing open-world robotics. Existing approaches, which rely heavily on large-scale data collection or simulation, often face limitations in real-world applications, including iss

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2025

Hierarchical Framework for Constrained Dual-Arm Cooperative Manipulation with Whole-Body Collision Avoidance

Silong Zhang, Quecheng Qiu, Yingtai Ni, Yuecheng Shao, Ziyang Feng, Jianmin Ji

IROS 2025

Dual-arm robotic systems hold great potential for complex bimanual tasks that require intricate and coordinated manipulation, such as holding and transporting a tray with a cup of coffee while navigating through cluttered environments. However, these tasks pose significant challenges due to the inhe

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