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cs.RO2026

Scaling Manual-Grounded Appliance Manipulation with Data Synthesis and Unified Planning

Yuxing Long, Lei Kang, Ziyan Yu +8

Operating household appliances requires long-horizon planning that is state-dependent and robust to disturbances, yet existing large models fall short, as no sufficiently diverse,…

cs.RO2026

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid

Peidong Liu, Yongce Liu, Songyan Guo +34

Generalist robot policies require trustworthy evaluation and robot-usable training data, but both are difficult to scale with physical robots alone. Real-robot trials and demonstra…

cs.RO2026

Building a Scalable, Reproducible, Evaluatable, and Closed-Loop Simulation Environment Foundation for Embodied Intelligence

Junwu Xiong, Yongjian Guo, Mingxi Luo +17

This paper presents a cloud-native simulation infrastructure framework for embodied intelligence that supports large-scale training, standardized evaluation, and simulation-based d…

cs.RO2025

RealAppliance: Let High-fidelity Appliance Assets Controllable and Workable as Aligned Real Manuals

Yuzheng Gao, Yuxing Long, Lei Kang +8

Existing appliance assets suffer from poor rendering, incomplete mechanisms, and misalignment with manuals, leading to simulation-reality gaps that hinder appliance manipulation de…

cs.RO2025

NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions

Haolin Yang, Yuxing Long, Zhuoyuan Yu +8

Instruction-following navigation is a key step toward embodied intelligence. Prior benchmarks mainly focus on semantic understanding but overlook systematically evaluating navigati…