A bionic robot control method and system applied to human-computer interaction scenes

By acquiring the three-dimensional coordinate sequence of human hand gesture joints in real time, calculating the dynamic time-warped distance, and controlling the bionic robot to perform corresponding actions, the problem of novice users having difficulty operating the bionic robot is solved, achieving the effects of simplified control and improved safety.

CN122401408APending Publication Date: 2026-07-17SONGYAN POWER (BEIJING) TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SONGYAN POWER (BEIJING) TECHNOLOGY CO LTD
Filing Date
2026-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional biomimetic robot control schemes require operators with extensive experience, making it difficult for novices to perform complex operations, which affects task efficiency and safety.

Method used

By acquiring the three-dimensional coordinate sequence of human hand gesture joints in real time, determining the gesture feature vector, calculating the dynamic time-warped distance, selecting the target sample gesture feature vector sequence with the smallest distance, and controlling the bionic robot to perform the corresponding action.

Benefits of technology

The difficulty of operating bionic robots has been reduced, improving the user experience and safety. The speed of the bionic robot's gestures is consistent with the speed of the user's gestures, thus improving the naturalness and flexibility of control.

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Abstract

本发明公开一种应用于人机交互场景的仿生机器人控制方法和系统,涉及人机交互控制技术领域。获取多个人体手势关节点的三维坐标序列;基于各采样时刻的三维坐标序列及基准关节点的三维坐标,确定出各采样时刻的手势特征向量;将当前时间窗口的手势特征向量进行组合,得到手势特征向量序列;计算手势特征向量序列与多个样本手势特征向量序列的动态时间规整距离;从多个样本手势特征向量序列中选择所对应动态时间规整距离最小的目标样本手势特征向量序列;如果手势特征向量序列与目标样本手势特征向量序列的动态时间规整距离低于预设距离,则控制仿生机器人执行对应样本手势所指示的手势动作。本发明可降低仿生机器人操作难度,方便仿生机器人控制。
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