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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.RO2026

-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation

Zhe Li, Zhenzhe Zhang, Yangyang Wei +8

Humanoid household tasks often require concurrent loco-manipulation, where the robot must move, adjust posture, maintain balance, and manipulate objects as a single coordinated beh…

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

The paper introduces Open-AoE, a large-scale egocentric video dataset of human manipulation together with a processing and downstream toolchain that provides hand pose, camera traj…

cs.RO2026

Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models

Shuanghao Bai, Jing Lyu, Wanqi Zhou +9

Vision-Language-Action (VLA) models benefit from chain-of-thought (CoT) reasoning, but existing approaches incur high inference overhead and rely on discrete reasoning representati…

cs.RO2026

PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing

Yuheng Ji, Yuyang Liu, Huajie Tan +15

Current robotic evaluation is still largely dominated by binary success rates, which collapse rich execution processes into a single outcome and obscure critical qualities such as…

cs.RO2026

RoboForge: Physically Optimized Text-guided Whole-Body Locomotion for Humanoids

Xichen Yuan, Zhe Li, Bofan Lyu +4

While generative models have become effective at producing human-like motions from text, transferring these motions to humanoid robots for physical execution remains challenging. E…

cs.CV2026

AoE: Always-on Egocentric Human Video Collection for Embodied AI

Bowen Yang, Zishuo Li, Yang Sun +15

Embodied foundation models require large-scale, high-quality real-world interaction data for pre-training and scaling. However, existing data collection methods suffer from high in…