首页> 外国专利> Learning system and learning method of maneuvering reasoning learning model for controlling autopilot robot

Learning system and learning method of maneuvering reasoning learning model for controlling autopilot robot

机译:用于控制自动驾驶机机器人的机动推理学习模型的学习系统及学习方法

摘要

Problem to be solved: to provide a learning system and a learning method capable of suppressing the lowering of learning accuracy of an operation inference learning model caused by the difference in pedal play amount between a vehicle model and a real vehicle.Based on the running condition of the vehicleAn operation Reasoning Learning Model 70 which deduces a vehicle operation andA learning system 10 comprising an autopilot robotOperationAccelerator pedal and brake pedal either or both pedalIncluding pedal operationVehicles andBased on the difference of the pedal play amount with the vehicle model 52 which outputs the simulated running state, theInput pedal manipulated by an inference inference learning model into a vehicle modelFirst pedal play quantity adjustment part 54The second pedal play amount adjustment unit 55 and.We propose a learning system for an operation reasoning learning model which controls an automatic maneuvering robot by applying an adjusted simulated running state to an operation reasoning learning model.Diagram
机译:要解决的问题:提供一种学习系统和能够抑制由车辆模型和真实车辆之间的踏板播放量的差异引起的操作推断学习模型的学习准确性降低的学习方法。基于运行条件推出车辆操作推理的车辆操作推理,其推断车辆操作和学习系统10,包括自动驾驶机器人踏板踏板踏板和制动踏板或踩踏板踏板,并且具有输出模拟运行的车辆型号52的踏板播放量的差异。状态,由推理推断学习模型操纵的Inupput踏板进入车辆变量踏板播放量调整部分54第二踏板播放量调整单元55 .WE提出了一种用于通过应用控制自动操纵机器人的操作推理学习模型的学习系统调整后的模拟运行状态一个操作推理学习模型.diagram

著录项

  • 公开/公告号JP2021143882A

    专利类型

  • 公开/公告日2021-09-24

    原文格式PDF

  • 申请/专利权人 株式会社明電舎;

    申请/专利号JP20200041429

  • 发明设计人 吉田 健人;深井 寛修;金刺 泰宏;

    申请日2020-03-11

  • 分类号G01M17/007;G06N3/02;G05B11/36;G05B13/02;

  • 国家 JP

  • 入库时间 2022-08-24 21:15:38

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