Tailai Cheng — accepted AI-conference papers

2026

TacUMI: A Multi-Modal Universal Manipulation Interface for Contact-Rich Tasks

Tailai Cheng, Kejia Chen, Lingyun Chen, Liding Zhang, Yue Zhang, Yao Ling +5

ICRA 2026poster

Task decomposition is critical for understanding and learning complex long-horizon manipulation tasks. Especially for tasks involving rich physical interactions, relying solely on visual observations and robot proprioceptive information often fails to reveal the underlying event transitions. This ra…

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2025

Multi-Robot Assembly of Deformable Linear Objects Using Multi-Modal Perception

Kejia Chen, Celina Dettmering, Florian Pachler, Zhuo Liu, Yue Zhang, Tailai Cheng +4

IROS 2025

Industrial assembly of deformable linear objects (DLOs) such as cables offers great potential for many industries. However, DLOs pose several challenges for robot-based automation due to the inherent complexity of deformation and, consequentially, the difficulties in anticipating the behavior of DLO

Cited by 2 Source ↗Scholar ↗