Yang Junqing, Huai Ruituo, Wang Hui, Li Wenyuan, Wang Zhigong, Sui Meie, Su Xuecheng
Institute of RF and OE-ICs, Southeast University, Nanjing, China.
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.
Front Neurorobot. 2017 Aug 14;11:40. doi: 10.3389/fnbot.2017.00040. eCollection 2017.
An evaluation method is described that will enable researchers to study fight control characteristics of robo-pigeons in fully open space. It is not limited by the experimental environment and overcomes environmental interference with flight control in small experimental spaces using a compact system. The system consists of two components: a global positioning system (GPS)-based stimulator with dimensions of 38 mm × 26 mm × 8 mm and a weight of 18 g that can easily be carried by a pigeon as a backpack and a PC-based program developed in Virtual C++. The GPS-based stimulator generates variable stimulation and automatically records the GPS data and stimulus parameters. The PC-based program analyzes the recorded data and displays the flight trajectory of the tested robo-pigeon on a digital map. This method enables quick and clear evaluation of the flight control characteristics of a robo-pigeon in open space based on its visual trajectory, as well as further optimization of the microelectric stimulation parameters to improve the design of robo-pigeons. The functional effectiveness of the method was investigated and verified by performing flight control experiments using a robo-pigeon in open space.
本文描述了一种评估方法，该方法能让研究人员在完全开放的空间中研究机器鸽的飞行控制特性。它不受实验环境的限制，通过一个紧凑的系统克服了小型实验空间中飞行控制的环境干扰。该系统由两个部分组成：一个基于全球定位系统（GPS）的刺激器，尺寸为38毫米×26毫米×8毫米，重量为18克，可以轻松地被鸽子作为背包携带；以及一个用Visual C++开发的基于PC的程序。基于GPS的刺激器产生可变刺激，并自动记录GPS数据和刺激参数。基于PC的程序分析记录的数据，并在数字地图上显示被测机器鸽的飞行轨迹。这种方法能够基于机器鸽的视觉轨迹快速、清晰地评估其在开放空间中的飞行控制特性，还能进一步优化微电刺激参数以改进机器鸽的设计。通过在开放空间中使用机器鸽进行飞行控制实验，对该方法的功能有效性进行了研究和验证。
