计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 281-284.doi: 10.11896/jsjkx.200700131

• 智能计算 • 上一篇    下一篇

基于UNITY3D的水下机器人视景仿真方法

程宇, 刘铁军, 唐元贵, 王健, 姜志斌, 祁胜   

  1. 中国科学院沈阳自动化研究所 沈阳110016
    中国科学院机器人与智能制造创新研究院 沈阳110169
  • 出版日期:2021-06-10 发布日期:2021-06-17
  • 通讯作者: 程宇(chengyu@sia.cn)
  • 基金资助:
    国家重点研发计划(2017YFC0305703)

Underwater Robert Visual Simulation Based on UNITY3D

CHENG Yu, LIU Tie-jun, TANG Yuan-gui, WANG Jian, JIANG Zhi-bin, QI Sheng   

  1. Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China
    Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:CHENG Yu,born in 1983,research assistant.His main research interests include visual simulation and control system.
  • Supported by:
    National Key R&D Program of China(2017YFC0305703).

摘要: 水下机器人的视景仿真在整个机器人的研制中占有非常重要的地位。一方面应用在水下机器人航行时,进行实时监控,显示机器人的姿态信息。结合海底信息,为操作员的操控提供了重要的辅助信息;另一方面也应用在测试阶段的仿真航行,它可以反馈海底的障碍信息,提供高程深度数据。本文针对水下机器人视景仿真的需要,设计了水下机器人的视景仿真方法,利用UNITY3D技术进行开发,根据实际地图数据建立海底场景,显示水下机器人在水下航行的姿态,提高了海景的渲染效果和真实程度。本方法已经实际应用于“十三五”国家重点研发计划全海深水下机器人”海斗一号”中和国家重点研发计划全海深AUV中,在论证,测试,实用等各个阶段中,该方法都具有重要意义,为水下机器人的进一步研究提供了有力支撑。

关键词: UNITY3D, 仿真, 全海深ARV, 视景, 水下机器人

Abstract: The visual simulation plays a veryimportant role in the development of the robot.On the one hand,it can be used in underwater robot navigation to carry out real-time monitoring and display robot attitude information.With seabed information,it provides important auxiliary information for operator.On the other hand,it is also used in the simulation of the test stage.It can feed back the obstacle information of the seabed and provide elevation and depth data.Aiming at the needs of underwater robot visual simulation,this paper designs the visual simulation method of underwater robot,develops by using UNITY3D technology,creates the scene according to the actual map data,displays the underwater navigation attitude of underwater robot,and improves the rendering effect and real degree of sea view.This method has been actually applied in the national key research and development plan of the 13th Five-Year Plan for full-depth ocean autonomous and remotely-operated vehicle "Haidou-1" and AUV.In the demonstration,test,practical and other stages,this method is of great significance,providing a strong support for the further research of underwater robot.

Key words: ARV, Simulation, Underwater robot, UNITY3D, Visual

中图分类号: 

  • TP391
[1] 唐元贵,王健,陆洋,等.“海斗号”全海深自主遥控水下机器人参数化设计方法与试验研究[J].机器人,2019,41(6):697-705.
[2] 江恒.基于UNITY3D的无人艇视景系统开发研究 [D].武汉:武汉理工大学,2016:1-20.
[3] 金玺曾.UNITY3D手机游戏开发[M].北京:清华大学出版社,2015.
[4] 崔瀚.基于 UNITY3D 的火炮外弹道虚拟视景仿真系统 [M].兵工自动化出版社,2017.
[5] 莫剑飞.基于 Vega Prime 的水下航行器视景仿真 [M].电子设计工程出版社,2015.
[6] 刘鹏仲.多亮点目标模拟及其水下试验视景仿真应用的研究[D].哈尔滨:哈尔滨工程大学,2011.
[7] 蔡向东.超高速水下航行器弹道可视化仿真技术[D].西安:西北工业大学,2008.
[8] Blender[OL].https://www.blender.org/.
[9] ABRASHKIN A.Unsteady Gerstner waves[J].Chaos,Solitons &Fractals,2019,118:152-158.
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