Title

Multi-target Extension for Beacon Foraging Methods

Author(s)/Creator(s)

Christopher Sanford, Syracuse University
Ziong Jiao, Syracuse University
Jae Oh, Syracuse University

Document Type

Report

Date

11-30-2017

Keywords

multi-agent, foraging, bio-inspired, engineering, robotics, artifical intelligence

Language

English

Disciplines

Electrical and Computer Engineering | Engineering | Other Engineering

Description/Abstract

Robotic foraging is a complex problem that encompasses both the problem of exploring an area and retrieval of targets. To solve this, biologically inspired algorithms have been proposed that handle the scenario when only one target exists, but requires extension to multiple targets. In both scenarios there exists problems of robot allocation and congestion, and we analyze ways of optimizing both allocation and minimizing congestion for our algorithms. We demonstrate the results through parameterized metrics and compare the improvements in each scenario.

This is a technical report on artificial intelligence, 2017, written by Sanford, Jiao, and Oh.

Additional Information

There is no embargo on this work.

It is licensed under Creative Commons CCBY 4.0

Recommended Citation

Sanford, Christopher; Jiao, Ziong; and Oh, Jae, "Multi-target Extension for Beacon Foraging Methods" (2017). Electrical Engineering and Computer Science - All Scholarship. 250.
https://surface.syr.edu/eecs/250