Jingbo Luo — accepted AI-conference papers

2025

Enhanced Kinematic Calibration of a 4PPa-2PaR Parallel Manipulator with Subchains

Jingbo Luo, Si-Lu Chen, Antoine Ferreira, Jianhui He, Dexin Jiang, Xiangjie Kong +5

IROS 2025

This paper proposes an innovative virtual chain-based kinematic calibration for the 4PPa-2PaR parallel manipulators with subchain architectures. Conventional calibration methods for such architectures suffer from inherent limitations due to coupled parameter constraints and restricted solution space

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2025

Sensor-Free Self-Calibration for Collaborative Robots Using Tri-Sphere End-Effector Toward High Orientation Accuracy

Jianhui He, Guilin Yang, Yiyang Feng, Jingbo Luo, Si-Lu Chen, Wenjun Shen

IROS 2025

Collaborative robots often exhibit limited absolute accuracy despite high repeatability, necessitating cost-effective calibration solutions. This paper presents a novel sensor-free self-calibration method for collaborative robots using position and distance constraints. A tri-sphere end-effector wit

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