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Slip Prediction Using Visual Information

Anelia Angelova, Larry Matthies, Daniel Helmick, Pietro Perona

Year
2006
Citations
54
Access
Open access

Abstract

This paper considers prediction of slip from a distance for wheeled ground robots using visual information as input. Large amounts of slippage which can occur on certain surfaces, such as sandy slopes, will negatively affect rover mobility. Therefore, obtaining information about slip before entering a particular terrain can be very useful for better planning and avoiding terrains with large slip.

Keywords

SlippageTerrainSlip (aerodynamics)RobotComputer scienceArtificial intelligenceComputer visionGeologyGeotechnical engineeringEngineering

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