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Ji-Ting Cai

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#machine learning Preprint Oct 2026

TartanMatch: Towards Universal Dense Correspondence Across Modalities

Robotic platforms combine multi-modal sensors to operate across diverse conditions, but most dense correspondence methods are limited to RGB-RGB or a small set of modality pairs. Training a model for each modality pair scales poorly with the number of sensors and forgoes potential positive transfer across modality pair...

Hyeokjoon Kwon, Ji-Ting Cai, Ruo-Gu Li et al. · 0 citations
Preprint Oct 2026

Point It, Strike It: Direction-Conditioned Dynamic Manipulation of Deformable Linear Objects

Goal-conditioned dynamic manipulation of deformable linear objects has mainly specified goals as positions for a rope tip to reach. Many tasks, however, depend on how the tip arrives. We therefore study single-swing rope striking with goals that specify the tip's 3D position and arrival direction, across the workspace...

Yi Yang, X. Fei, Le-Hong Wang et al. · 0 citations

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