Designing pheromone communication in swarm robotics: Group foraging behavior mediated by chemical substance

2014 ◽  
Vol 8 (3) ◽  
pp. 227-246 ◽  
Author(s):  
Ryusuke Fujisawa ◽  
Shigeto Dobata ◽  
Ken Sugawara ◽  
Fumitoshi Matsuno
Keyword(s):  
Foraging Behavior ◽  
Swarm Robotics ◽  
Chemical Substance ◽  
Group Foraging ◽  
Pheromone Communication

scholarly journals Foraging behavior analysis of swarm robotics system

2018 ◽  
Vol 144 ◽  
pp. 01013 ◽  
Author(s):  
E. Sakthivelmurugan ◽  
G. Senthilkumar ◽  
K. G. Prithiviraj ◽  
K. R. Tinu Devraj
Keyword(s):  
Behavior Analysis ◽  
Foraging Behavior ◽  
Swarm Robotics

scholarly journals A Versatile Vision-Pheromone-Communication Platform for Swarm Robotics

2021 ◽  
Author(s):  
Tian Liu ◽  
Xuelong Sun ◽  
Cheng Hu ◽  
Qinbing Fu ◽  
Shigang Yue
Keyword(s):  
Swarm Robotics ◽  
Pheromone Communication ◽  
Communication Platform

Implementation of Swarm Social Foraging Behavior in Unmanned Aerial Vehicle (UAV) Quadrotor Swarm

2017 ◽  
Vol 21 (2) ◽  
pp. 197-204
Author(s):  
Gerard Ely U. Faelden ◽  
◽  
Ryan Rhay P. Vicerra ◽  
Laurence A. Gan Lim ◽  
Edwin Sybingco ◽  
...  
Keyword(s):  
Foraging Behavior ◽  
Unmanned Aerial Vehicle ◽  
Swarm Robotics ◽  
Social Foraging ◽  
The Novel ◽  
Test Bed ◽  
The Social ◽  
Aerial Vehicle ◽  
Basic Behavior ◽  
Artificial Potential Function

One of the novel approaches in multiple quadrotor control is swarm robotics. It aims to mimic social behaviors of animals and insects. This paper presents the physical implementation of the swarm social foraging behavior in unmanned aerial vehicle quadrotors. To achieve this, it first explores the basic behavior of aggregation. It is implemented over a quadrotor swarm test-bed that makes use of external motion capture cameras. The completed algorithm makes use of the artificial potential function model combined with the environment resource profile model. Results show successful demonstration of the social foraging algorithm with minimal error in position. Also, the proposed algorithm’s performance presents an increase in aggregation speed and time as the number of swarm member increases.

Foraging behavior of an estuarine predator, the blue crab Callinectes sapidus in a patchy environment

Ecography ◽  
2000 ◽  
Vol 23 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Mary E. Clark ◽  
Thomas G. Wolcott ◽  
Donna L. Wolcott ◽  
Anson H. Hines
Keyword(s):  
Foraging Behavior ◽  
Blue Crab ◽  
Callinectes Sapidus ◽  
Patchy Environment

Human foraging behavior in external and internal search tasks

2010 ◽  
Author(s):  
Andreas Wilke ◽  
Benjamin Scheibehenne ◽  
Rui Mata ◽  
Peter M. Todd ◽  
H. Clark Barrett
Keyword(s):  
Foraging Behavior ◽  
Search Tasks ◽  
Human Foraging
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