AI让机械臂更精准完成打磨、装配等力控任务。
On the role of Artificial Intelligence methods in modern force-controlled manufacturing robotic tasks
- 用AI优化机械臂在力控任务中的表现
- 提升打磨、插孔等场景的加工精度与稳定性
- 适合智能制造与工业4.0领域的研究者与工程师
本文探讨人工智能（AI）在先进制造中力控机器人任务中的集成，作为工业4.0的核心。AI正快速推动机器人操作臂在第四次工业革命中的创新，提升智能生产水平。文章聚焦实际力控应用，如去毛刺、抛光和插销入孔（PiH）等，强调其对维持高质量生产标准的重要性。通过综述近期基于AI的方法，对比分析其优劣，并识别未来研究需解决的挑战。结论提出未来方向：建立统一性能评估指标，融合多种优化技术，验证方法在真实场景中的有效性。这些方向旨在与现有制造标准兼容，增强学术与工业界对AI驱动方法的采纳度。
原文摘要 · Abstract (English)
This position paper explores the integration of Artificial Intelligence (AI) into force-controlled robotic tasks within the scope of advanced manufacturing, a cornerstone of Industry 4.0. AI's role in enhancing robotic manipulators - key drivers in the Fourth Industrial Revolution - is rapidly leading to significant innovations in smart manufacturing. The objective of this article is to frame these innovations in practical force-controlled applications - e.g. deburring, polishing, and assembly tasks like peg-in-hole (PiH) - highlighting their necessity for maintaining high-quality production standards. By reporting on recent AI-based methodologies, this article contrasts them and identifies current challenges to be addressed in future research. The analysis concludes with a perspective on future research directions, emphasizing the need for common performance metrics to validate AI techniques, integration of various enhancements for performance optimization, and the importance of validating them in relevant scenarios. These future directions aim to provide consistency with already adopted approaches, so as to be compatible with manufacturing standards, increasing the relevance of AI-driven methods in both academic and industrial contexts.
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