当前位置:网站首页>Comparison of Optical Motion Capture and UWB Positioning Technology in Multi-agent Cooperative Control Research
Comparison of Optical Motion Capture and UWB Positioning Technology in Multi-agent Cooperative Control Research
2022-07-31 13:47:00 【MocapLeader】
When humans do any work, they always emphasize teamwork, teamwork.With the interdisciplinary development and integration of control science, computer science and other disciplines, in the field of intelligent body control, the control of a single robot, unmanned aerial vehicle, and unmanned vehicle can no longer meet the technical needs of the current field.These agents complete multi-unit and multi-dimensional cooperative work, and the cooperative control and application of multi-agent systems has become one of the research hotspots in many fields such as control, mathematics, communication, biology and artificial intelligence.
In the process of completing multi-agent cooperative control, the mainstream positioning technologies currently used are Optical Motion Capture (Optical Motion Capture) and UWB (Ultra Wide Band, Ultra Wide Band).Both technologies have their own characteristics.
Get Data Type
Optical motion capture obtains the position information of the marker points on the agent through the lens in the collaborative control experiment to calculate the position information and pose information of the agent, transmits the data to the host through SDK or VRPN, and then transmits the data to the host through the SDK or VRPN.The calculation and actual control software sends the intelligent body to complete real-time control through wireless signals; while UWB technology is a wireless carrier communication technology that uses a frequency bandwidth above 1GHz, and it cannot be completely a position control technology.Carry a signal transmitting device to indirectly obtain the location of the agent in this way.In contrast, optical motion capture can provide both the location information and attitude information of the agent, while UWB technology can only provide the location information of the agent alone.In a market with increasingly diverse and complex needs, agents that only move in position can no longer meet the needs of the current market.What is needed now is that the drone not only flies in a straight line, but can know its own attitude in the air, adjust it at any time, and even roll over. At this time, UWB technology cannot meet the control requirements.

Capture Accuracy and Latency
Not only the data support, but also the UWB system built indoors, the overall accuracy will be greatly reduced in the case of civil and commercial use, about centimeters, and the transmission range is only about 10m.However, the indoor capture accuracy of optical motion capture can reach sub-millimeter level, and the entire capture range has no upper limit according to the setting of the venue and the number of lenses.
The optical motion capture system can not only provide high-precision, low-interference information, but also transmit the position and attitude information of the agent back to the host in high real-time, and the overall data information returned to the agent is low-latencyYes, latency can be as low as a few milliseconds.
Hardware Comparison
In terms of hardware, UWB needs to install a device that transmits radio waves on the intelligent body, which will increase the complexity and uncontrollability of the collaborative control process.The optical motion capture system only sticks a few very light special markers on the intelligent body, no other equipment is required, and it will not cause other interference to the intelligent body, which not only ensures accurate position and attitude information, but also ensures that noInterfere with the cooperative control process and provide a stable and reliable activity space.
Typical Cases
Many teams in China are also conducting research on multi-agent collaborative control. Now, Professor Xia Yuanqing's team from Beijing Institute of Technology has completed the research on air-ground collaborative control. After comparing different positioning technologies for many times, the team adopted NOKOV metrology optical threeA motion capture system is used as the positioning system for the final study.In the whole research process, the NOKOV metric optical 3D motion capture system provides the research with the spatial position and attitude information of the unmanned vehicle, which makes the whole research proceed smoothly.Finally, the preliminary research was successfully completed, and it was reported by Xinhuanet.
边栏推荐
- Invalid bound statement (not found)出现的原因和解决方法
- The batch size does not have to be a power of 2!The latest conclusions of senior ML scholars
- ECCV2022: Recursion on Transformer without adding parameters and less computation!
- All-round visual monitoring of the Istio microservice governance grid (microservice architecture display, resource monitoring, traffic monitoring, link monitoring)
- C# 中的Async 和 Await 的用法详解
- LeetCode只出现一次的数字
- Miller_Rabin 米勒拉宾概率筛【模板】
- 技能大赛训练题:交换机的远程管理
- How to quickly split and merge cell data in Excel
- Unity study notes Description of AVPro video jump function (Seeking)
猜你喜欢
图像大面积缺失,也能逼真修复,新模型CM-GAN兼顾全局结构和纹理细节
The operator,
MySQL玩到这种程度,难怪大厂抢着要!
【牛客刷题-SQL大厂面试真题】NO3.电商场景(某东商城)
Solution for browser hijacking by hao360
【redis】发布和订阅消息
ICML2022 | 面向自监督图表示学习的全粒度自语义传播
hyperf的启动源码分析(二)——请求如何到达控制器
报错:npm ERR code EPERM
[Niu Ke brush questions - SQL big factory interview questions] NO3. E-commerce scene (some east mall)
随机推荐
Miller_Rabin 米勒拉宾概率筛【模板】
Linux bash: redis-server: 未找到命令
龟速乘【模板】
LeetCode·每日一题·1161.最大层内元素和·层次遍历
C# control ToolStripProgressBar usage
技能大赛训练题:ftp 服务攻防与加固
hyperf的启动源码分析(二)——请求如何到达控制器
C# List Usage List Introduction
EXCEL如何快速拆分合并单元格数据
MySQL玩到这种程度,难怪大厂抢着要!
P5019 [NOIP2018 提高组] 铺设道路
Reasons and solutions for Invalid bound statement (not found)
深度剖析 Apache EventMesh 云原生分布式事件驱动架构
Shell脚本经典案例:文件的备份
What should I do if selenium is reversed?
Verilog——基于FPGA的贪吃蛇游戏(VGA显示)
六石编程学:不论是哪个功能,你觉得再没用,会用的人都离不了,所以至少要做到99%
最新完整代码:使用word2vec预训练模型进行增量训练(两种保存方式对应的两种加载方式)适用gensim各种版本
Usage of += in C#
Batch大小不一定是2的n次幂!ML资深学者最新结论