Embroidery Robotics: An Innovative Approach to AI-based Online Learning and Image Generation
Ling Chen, Tianxin Zhang, Jing Chen · 2023
In this paper, we present an innovative approach to employ artificial intelligence for teaching a dual-arm robot embroidery tasks through online learning. Utilizing the principle of Teaching by Demonstration, we introduce an online learning algorithm that efficiently captures and reproduces the embroidery trajectories of a human expert on a 2D plane. The algorithm’s performance was evaluated quantitatively and qualitatively, showing a promising level of accuracy in reproducing the original embroidery patterns. We further validated the feasibility and potential of our approach through a user feedback survey involving 30 professional embroiderers. Despite certain areas identified for improvement, notably the finer details in embroidery, the overall positive response confirmed the viability of our approach. This study signifies a crucial step towards automating intricate manual tasks and broadens the horizons for applications of AI and robotics in various industries.