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Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection.

, , and . Int. J. Robotics Res., 25 (5-6): 431-447 (2006)

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Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection., , and . Int. J. Robotics Res., 25 (5-6): 431-447 (2006)Multi-robot Simultaneous Localization and Mapping using Particle Filters.. Int. J. Robotics Res., 25 (12): 1243-1256 (2006)BasisNet: Two-Stage Model Synthesis for Efficient Inference., , , , , , , , and . CVPR Workshops, page 3081-3090. Computer Vision Foundation / IEEE, (2021)Putting the 'I' in 'team': an ego-centric approach to cooperative localization., , and . ICRA, page 868-874. IEEE, (2003)Towards 3D mapping in large urban environments., , and . IROS, page 419-424. IEEE, (2004)On device abstractions for portable, reusable robot code., , and . IROS, page 2421-2427. IEEE, (2003)Temporal occupancy grids: a method for classifying the spatio-temporal properties of the environment., , and . IROS, page 409-414. IEEE, (2002)Low-Power Computer Vision: Status, Challenges, and Opportunities., , , , , , , , , and 34 other author(s). IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (2): 411-421 (2019)MnasNet: Platform-Aware Neural Architecture Search for Mobile., , , , , , and . CVPR, page 2820-2828. Computer Vision Foundation / IEEE, (2019)Discovering Multi-Hardware Mobile Models via Architecture Search., , , , , , , , , and . CVPR Workshops, page 3022-3031. Computer Vision Foundation / IEEE, (2021)