» Articles » PMID: 28855869

Global Positioning System-Based Stimulation for Robo-Pigeons in Open Space

Overview
Date 2017 Sep 1
PMID 28855869
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Dynamically Controlled Flight Altitudes in Robo-Pigeons via Neurostimulation.

Fang K, Wang Z, Tang Y, Guo X, Li X, Wang W Research (Wash D C). 2025; 8:0632.

PMID: 40046512 PMC: 11880575. DOI: 10.34133/research.0632.


Hovering flight regulation of pigeon robots in laboratory and field.

Zhou Z, Tang Y, Li R, Wang W, Dai Z iScience. 2024; 27(10):110927.

PMID: 39391728 PMC: 11465124. DOI: 10.1016/j.isci.2024.110927.


Microstimulation-based path tracking control of pigeon robots through parameter adaptive strategy.

Huang Y, Yang L, Yang L, Xu Z, Li M, Shang Z Heliyon. 2024; 10(19):e38113.

PMID: 39386879 PMC: 11462516. DOI: 10.1016/j.heliyon.2024.e38113.


Progress of Micro-Stimulation Techniques to Alter Pigeons' Motor Behavior: A Review from the Perspectives of the Neural Basis and Neuro-Devices.

Li M, Yang L, Wang Z, Liu Y, Wan H, Shang Z Brain Sci. 2024; 14(4).

PMID: 38671991 PMC: 11047962. DOI: 10.3390/brainsci14040339.


[Design and preliminary application of outdoor flying pigeon-robot].

Wang H, Wang S, Qiu Z, Zhang Q, Xu S Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022; 39(6):1209-1217.

PMID: 36575091 PMC: 9927186. DOI: 10.7507/1001-5515.202207077.


References
1.
Grinke E, Tetzlaff C, Worgotter F, Manoonpong P . Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot. Front Neurorobot. 2015; 9:11. PMC: 4602151. DOI: 10.3389/fnbot.2015.00011. View

2.
Kobayashi N, Yoshida M, Matsumoto N, Uematsu K . Artificial control of swimming in goldfish by brain stimulation: confirmation of the midbrain nuclei as the swimming center. Neurosci Lett. 2009; 452(1):42-6. DOI: 10.1016/j.neulet.2009.01.035. View

3.
Yu Y, Pan G, Gong Y, Xu K, Zheng N, Hua W . Intelligence-Augmented Rat Cyborgs in Maze Solving. PLoS One. 2016; 11(2):e0147754. PMC: 4747605. DOI: 10.1371/journal.pone.0147754. View

4.
Xu S, Talwar S, Hawley E, Li L, Chapin J . A multi-channel telemetry system for brain microstimulation in freely roaming animals. J Neurosci Methods. 2004; 133(1-2):57-63. DOI: 10.1016/j.jneumeth.2003.09.012. View

5.
Talwar S, Xu S, Hawley E, Weiss S, Moxon K, Chapin J . Rat navigation guided by remote control. Nature. 2002; 417(6884):37-8. DOI: 10.1038/417037a. View