一种自动化拍摄人形机器人及其控制方法

By constructing a target composition constraint model and a multimodal perception system, we have achieved human-like interaction and intelligent composition of automated shooting equipment, which solves the problems of insufficient intelligent composition and fragmented motion control in existing equipment, and improves shooting quality and application breadth.

CN122401449APending Publication Date: 2026-07-17CHENGDU WUJING YUNKE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU WUJING YUNKE TECHNOLOGY CO LTD
Filing Date
2026-06-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing automated shooting equipment lacks intelligent composition, has a disconnect between motion control and shooting logic, and lacks human-like interactive capabilities, resulting in images that lack narrative and visual appeal. Furthermore, in scenes with multiple subjects, it can easily interfere with eye contact or cause obstruction.

Method used

By constructing a target composition constraint model, combining a multimodal perception system and a driving system, the robot's shooting pose is calculated in real time. A gaze contact simulation and interactive fine-tuning mechanism are introduced to optimize the optical axis pose of the camera components. Furthermore, avoidance constraints are introduced in multi-object shooting scenarios to achieve human-like shooting control.

Benefits of technology

It improves the image quality and narrative expressiveness of automated shooting, eliminates the mechanical feeling and discomfort, expands the scope of application, ensures human-machine safety and personalized adaptation, and enhances the system's reliability and emergency response capabilities.

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Abstract

本发明公开了一种自动化拍摄人形机器人及其控制方法,该机器人包括具有仿人形态的机器人主体、摄像组件、多模态感知系统、驱动系统与控制系统;控制系统根据拍摄对象的状态信息与目标构图约束模型解算理想拍摄位姿,生成第一驱动控制信号调整机器人位置与姿态,并实时计算头部与拍摄对象面部的视线夹角生成第二驱动控制信号进行拟人化交互微调;本发明通过将构图约束模型与机器人运动控制深度融合,并引入目光接触模拟机制,使机器人能够以自然、拟人化的方式在复杂动态场景中完成高质量自动化拍摄,有效提升了拍摄画面的构图表现力与人机交互的沉浸感。
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