发表机构
Skolkovo Institute of Science and Technology（斯科尔科沃科学技术学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出自主机器人肖像生成系统，整合多技术实现绘画，经实验获用户高分评价，产出可识别且具吸引力的机器人肖像。
AI 中文摘要
我们提出一种自主机器人肖像生成系统，结合实时人脸检测、基于AI的草图生成与机器人绘画。该系统采集视频帧，提取面部区域，通过Gemini视觉API将其转换为极简单线草图，基于图的路径规划优化笔画顺序，并在6自由度协作机械臂上执行平滑轨迹。这种感知-认知-行动流程整合了计算机视觉、神经艺术抽象、运动优化与机器人控制。用户以5分制评分，草图质量4.33分、执行感知4.53分、用户体验4.65分，表明机器人肖像可识别、具吸引力且引人入胜。
英文摘要
We present an autonomous robotic portrait-generation system combining real-time face detection, AI-based sketch generation, and robotic drawing. The system captures video frames, extracts facial regions, converts them into minimalist single-line sketches using the Gemini Vision API, optimizes stroke order through graph-based path planning, and executes smooth trajectories on a 6-DoF collaborative manipulator. This perception-cognition-action pipeline integrates computer vision, neural artistic abstraction, motion optimization, and robot control. User ratings on a 5-point scale were high for sketch quality 4.33, perceived execution 4.53, and user experience 4.65, indicating recognizable, appealing, and engaging robotic portraits.
