Paper
16 April 2008 Modeling, validation and analysis of a Whegs robot in the USARSim environment
Author Affiliations +
Abstract
Simulation of robots in a virtual domain has multiple benefits. End users can use the simulation as a training tool to increase their skill with the vehicle without risking damage to the robot or surrounding environment. Simulation allows researchers and developers to benchmark robot performance in a range of scenarios without having the physical robot or environment present. The simulation can also help guide and generate new design concepts. USARSim (Unified System for Automation and Robot Simulation) is a tool that is being used to accomplish these goals, particularly within the realm of search and rescue. It is based on the Unreal Tournament 2004 gaming engine, which approximates the physics of how a robot interacts with its environment. A family of vehicles that can benefit from simulation in USARSim are WhegsTM robots. Developed in the Biorobotics Laboratory at Case Western Reserve University, WhegsTM robots are highly mobile ground vehicles that use abstracted biological principles to achieve a robust level of locomotion, including passive gait adaptation and enhanced climbing abilities. This paper describes a WhegsTM robot model that was constructed in USARSim. The model was configured with the same kinds of behavioral characteristics found in real WhegsTM vehicles. Once these traits were implemented, a validation study was performed using identical performance metrics measured on both the virtual and real vehicles to quantify vehicle performance and to ensure that the virtual robot's performance matched that of the real robot.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian K. Taylor, Stephen Balakirsky, Elena Messina, and Roger D. Quinn "Modeling, validation and analysis of a Whegs robot in the USARSim environment", Proc. SPIE 6962, Unmanned Systems Technology X, 69621B (16 April 2008); https://doi.org/10.1117/12.777604
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Physics

Device simulation

Calibration

Gait analysis

Visualization

Electromagnetic simulation

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