multi-agent, foraging, bio-inspired, engineering, robotics, artifical intelligence
Electrical and Computer Engineering | Engineering | Other Engineering
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.
Sanford, Christopher; Jiao, Ziong; and Oh, Jae, "Multi-target Extension for Beacon Foraging Methods" (2017). Electrical Engineering and Computer Science - All Scholarship. 250.