An Behavior-based Robotics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 1.2
OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 1.2
Phylogenetic and Ontogenetic Learning in a Colony of Interacting Robots
Autonomous Robots
Intelligence Without Reason
A Robust Layered Control System For a Mobile Robot
A Robust Layered Control System For a Mobile Robot
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This paper describes the simulation of described autonomous robots for search and rescue operations. The simulation system is utilized to perform experiments with various control strategies for the robot and team organizations, evaluating the comparative performance of the strategies and organizations. The objective of the robot team is, once deployed in an environment (floor-plan) with multiple rooms, to cover as many rooms as possible. The simulated robots are capable of navigating through the environment, and can communicate using simple messages. The simulator maintains the world, provides each robot with sensory information, and carries out the actions of the robots. The simulator keeps track of the rooms visited by robots and the elapsed time, in order to evaluate the performance of the robot teams. The robot teams are composed of homogenous robots, i.e., identical control strategies are used to generate the behavior of each robot in the team. The ability to deploy autonomous robots, as opposed to humans, in hazardous search and rescue missions could provide immeasurable benefits.