High fidelity tools for rescue robotics: results and perspectives

Authors:
Stefano Carpin;Jijun Wang;Michael Lewis;Andreas Birk;Adam Jacoff
Affiliations:
School of Engineering and Science, International University Bremen, Germany;Department of Information Science and Telecommunications, University of Pittsburgh;Department of Information Science and Telecommunications, University of Pittsburgh;School of Engineering and Science, International University Bremen, Germany;Intelligent Systems Division, National Institute of Standards and Technology
Venue:
RoboCup 2005
Year:
2006

Citing 4
Cited 7

Research in human-level AI using computer games

Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Unreal tournament for immersive interactive theater

Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Towards an architecture for intelligent control of narrative in interactive virtual worlds

Proceedings of the 8th international conference on Intelligent user interfaces
Stochastic map merging in rescue environments

RoboCup 2004

Human control for cooperating robot teams

Proceedings of the ACM/IEEE international conference on Human-robot interaction
Evaluating maps produced by urban search and rescue robots: lessons learned from RoboCup

Autonomous Robots
Performance metrics and evaluation of a path planner based on genetic algorithms

PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
Robot simulation physics validation

PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
A quantitative assessment of structural errors in grid maps

Autonomous Robots
Scalable target detection for large robot teams

Proceedings of the 6th international conference on Human-robot interaction
Creating photo maps with an aerial vehicle in USARsim

RoboCup 2009

Quantified Score

Hi-index	0.00

Visualization

Abstract

USARSim is a high fidelity robot simulation tool based on a commercial game engine. We illustrate the overall structure of the simulator and we argue about its use as a bridging tool between the RoboCupRescue Real Robot League and the RoboCupRescue Simulation League. In particular we show some results concerning the validation of the system. Algorithms useful for the search and rescue task have been developed in the simulator and then executed on real robots providing encouraging results.