一种扩展灵活的农用机器人架构构建方法与装置

By constructing an agricultural robot architecture using shared memory and behavior trees, the problem of low efficiency in obstacle avoidance path planning and control in agricultural environments is solved. This enables efficient and flexible sensor data processing and resource optimization, meeting the diverse operational needs of agricultural robots.

CN117444959BActive Publication Date: 2026-07-17INST OF COMPUTING TECH CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
INST OF COMPUTING TECH CHINESE ACAD OF SCI
Filing Date
2023-10-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve efficient and scalable obstacle avoidance path planning and control in agricultural environments. Sensor data processing efficiency is low, resulting in significant resource waste and making it difficult to meet the diverse operational needs of agricultural robots.

Method used

The architecture of agricultural robots is constructed using shared memory and behavior trees. Shared memory enables efficient sharing and interaction of sensor data, while behavior trees provide flexible control of behavior nodes, reducing resource waste and improving communication efficiency.

Benefits of technology

It enables efficient and flexible obstacle avoidance path planning and control in agricultural environments, improves sensor data processing efficiency, reduces resource consumption, and meets the diverse operational needs of agricultural robots.

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Abstract

本发明为一种扩展灵活的农用机器人架构构建方法与装置,包括以下步骤:构建感知层步骤,用于接收传感器数据,获取机器人内部与外部环境信息;构建规划层步骤,用于导航路径规划、避障检测控制和导航地图建模;构建决策层步骤,进一步包括:构建高速传输通道步骤,用于构建公告板;对农用机器人的功能进行封装步骤,得到行为节点;根据公告板,对行为节点进行可灵活扩展的执行与控制步骤。
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