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cs.RO2026

HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing

Zhenjie Yang, Xingyu Jiao, Guopeng Zhong +18

Robotic manipulation with dexterous hands is a cornerstone of Embodied AI, yet its progress is stifled by the high cost of collecting embodiment-aware teleoperation data. While abu…

cs.RO2026

UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies

Lirui Zhao, Modi Shi, Li Chen +3

The paper proposes UR-VC, an unsupervised method that improves noisy time‑derived progress labels in robot demonstrations by aggregating timestamps from similar states across episo…

cs.RO2026

LH-AVLN: A Benchmark for Long-Horizon Audio-Visual-Language Navigation

Rufeng Chen, Yue Chang, Zili Shao +5

Embodied navigation is moving toward long-horizon missions, yet existing long-horizon benchmarks are largely acoustically silent, and audio-visual navigation tasks typically focus…

cs.RO2026

EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration

Modi Shi, Shijia Peng, Jin Chen +6

Human demonstrations offer rich environmental diversity and scale naturally, making them an appealing alternative to robot teleoperation. While this paradigm has advanced robot-arm…

cs.RO2026

Is Diversity All You Need for Scalable Robotic Manipulation?

Modi Shi, Li Chen, Jin Chen +7

Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles of effective data scaling in robo…

cs.RO2026

RISE: Self-Improving Robot Policy with Compositional World Model

Jiazhi Yang, Kunyang Lin, Jinwei Li +10

Despite the sustained scaling on model capacity and data acquisition, Vision-Language-Action (VLA) models remain brittle in contact-rich and dynamic manipulation tasks, where minor…