Interviews

Robots Podcast #172: Object-based 3D SLAM

Posted 29 Dec 2014 at 02:04 UTC by John_RobotsPodcast Share This

imagery from 3D SLAM

In episode #172, interviewer Audrow Nash speaks with Professor John Leonard from MIT about his research on dense, object-based 3D Simultaneous Localization And Mapping (SLAM). Leonard explains what SLAM is, as well as its practical applications. The explanations include what it means for SLAM to be object-based (versus feature-based) and to have dense (versus sparse) environmental mapping. The interview closes with advice for aspiring roboticists. (John Leonard is Professor of Mechanical and Ocean Engineering and Associate Department Head for Research in the MIT Department of Mechanical Engineering. He is also a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research addresses the problems of navigation and mapping for autonomous mobile robots.)

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