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20232026
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cs.RO2026

RAIN: Robotic Task Generalization with Region-Aware Interaction Networks

Seunghun Lee, Kyuhwan Shim, Yeogyeong Song +5

Existing vision-language-action (VLA) models benefit from large-scale vision-language pretraining, but tend to memorize training trajectories, limiting their ability to adapt learn…

cs.RO2026

CANTABILE: Learning Expressive Dynamics for Robotic Piano Performance

Woosik Kim, Wonhyeok Choi, Sunghoon Im

Robotic piano playing has emerged as a standard benchmark for dexterous bimanual manipulation, yet progress on it has been measured almost entirely by note accuracy -- which keys a…

cs.CV2026

CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets

Jihun Park, Kyoungmin Lee, Jongmin Gim +6

Subject-driven image personalization---generating new images that preserve the identity of one or several reference subjects in novel scenes---is a foundational capability for mode…

cs.CV2026

CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations

Kyumin Hwang, Wonhyeok Choi, Jaeyeul Kim +3

This letter proposes CascadeOcc, a novel occupancy world model that prioritizes intrinsic structural hierarchy over extrinsic auxiliary modalities for autonomous driving. Occupancy…

cs.LG2026

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control

Wonhyeok Choi, Shutong Ding, Minwoo Choi +5

Diffusion policies have emerged as a powerful approach for robotic control, demonstrating superior expressiveness in modeling multimodal action distributions compared to convention…