Optimal Multi-Agent Search and Rescue Using Potential Field Theory

2020 ◽  
Author(s):  
John R. Cooper
Keyword(s):  
Field Theory ◽  
Potential Field ◽  
Search And Rescue ◽  
Multi Agent

Evaluation Model of Combat Effectiveness Based on MAS

2015 ◽  
Vol 734 ◽  
pp. 443-446
Author(s):  
Bo Zhang ◽  
Da Wei Zhao ◽  
Xue Zhao
Keyword(s):  
Complex System ◽  
Field Theory ◽  
System Theory ◽  
Potential Field ◽  
Evaluation Model ◽  
Theory Model ◽  
Effectiveness Evaluation ◽  
Agent Model ◽  
Combat Effectiveness ◽  
Multi Agent

This paper presents ideas that using the complex system theory to achieve combat effectiveness evaluation, and constructs an combat agent model and a potential field theory model, then take an example to accomplish the combat effectiveness evaluation based on multi-agent.

Study on Autonomous Intelligent Drive System Based on Potential Field with Hazard Anticipation

2015 ◽  
Vol 27 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Ryosuke Matsumi ◽  
◽  
Pongsathorn Raksincharoensak ◽  
Masao Nagai ◽  
◽  
...  
Keyword(s):  
Field Theory ◽  
Computer Simulation ◽  
Collision Avoidance ◽  
Potential Field ◽  
Drive System ◽  
Urban Street ◽  
Emergency Braking ◽  
Collision Avoidance System ◽  
Risk Potential ◽  
Blind Spots

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270001/01.jpg"" width=""300"" />Risk potential estimation</div> Pedestrians darting out from blind spots in driver vision are typical scenarios in urban street environments, and conventional autonomous emergency braking systems reach safety limits if sensors do not detect the pedestrian in time to prevent accident or injury. The system must be able to anticipate such potential hazards and to anticipate such pedestrian action. This paper focuses on a pedestrian collision avoidance system that has a “driving-intelligence"" model. The model was designed by applying potential field theory using hazard-anticipatory knowledge. The effectiveness of the proposed system is confirmed by computer simulation. </span>

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