T/TJRIA 003.1-2025 Humanoid Robot Multimodal Dataset Collection Specification Part 1: Standardized Process for Acquiring Skilled Hand Data Collection Process Specification
T/TJRIA 003.1-2025 Humanoid Robot Multimodal Dataset Collection Specification Part 1: Standardized Process for Acquiring Skilled Hand Data Collection Process Specification
Basic Information
Scope
Main technical content: Humanoid robots, as the core physical carriers of the new generation of embodied intelligent systems, have demonstrated disruptive potential in autonomous breakthroughs in industrial manufacturing, medical assistance, and other fields. High-fidelity multimodal datasets have become key elements in driving humanoid robots to achieve a closed-loop of perception-decision-control-execution. However, there are challenges in data collection technology, such as the heterogeneity of multi-source devices, insufficient accuracy of cross-modal timing synchronization, and discrepancies between the data collection scenarios and actual task environments, which constrain the training efficiency and engineering application of embodied intelligent algorithms. This document is applicable to the training needs of humanoid robots' dexterous hand operation capabilities and the technical control of the multimodal dataset collection process, covering key aspects such as data scene setup, collection modal types, multi-source synchronous control, and real-time quality monitoring, providing a verifiable benchmark system and normative guidance for high-quality data collection.