基于状态失配补偿的机器人动作控制方法、系统、设备

By acquiring time delay-related information of multi-source historical state sequences, determining state reliability and assigning weights, and performing compensation encoding and modulation, the problem of multi-source state mismatch in robot control is solved, and the accuracy and stability of motion generation are improved.

CN122401403APending Publication Date: 2026-07-17NANTONG INST OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANTONG INST OF TECH
Filing Date
2026-05-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, multi-source historical states in robot control suffer from problems such as asynchronous sampling, transmission delay, local frame loss, and inconsistent cross-source descriptions, resulting in inaccurate motion generation and modulation, motion output oscillation, peak overshoot, and cumulative trajectory deviation.

Method used

By acquiring the robot's multi-source historical state sequence and its time delay related information, the state reliability description information is determined and weighted, and compensation encoding is performed to generate a state representation aligned with the current control time. This state representation is then used to modulate the action feature sequence, and finally, the robot control action is output.

Benefits of technology

It improves the consistency of robot control output response to the current real state, reduces action misdirection, and enhances the accuracy and stability of motion control under multi-source asynchronous conditions.

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Abstract

本发明公开了一种基于状态失配补偿的机器人动作控制方法、系统及设备。该方法包括:获取机器人多源历史状态序列、动作隐藏特征序列及对应的时延相关信息;根据时延相关信息确定各时刻状态数据的状态可靠性权重;基于状态可靠性权重对多源历史状态序列进行补偿编码,生成与当前控制时刻对齐的补偿后的状态表示;基于补偿后的状态表示生成动作特征调制信息,对动作隐藏特征序列进行调制,得到调制后的动作特征序列;根据调制后的动作特征序列输出机器人控制动作。本发明通过评估多源历史状态的可靠性并生成补偿后的状态表示,有效减小因采样异步、传输延迟及跨源不一致造成的状态失配,提高了机器人动作控制的稳定性与轨迹跟踪精度。
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