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Improving robot navigation through self-supervised online learning.

, , , , , and . J. Field Robotics, 23 (11-12): 1059-1075 (2006)

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Anytime online novelty and change detection for mobile robots., , , and . J. Field Robotics, 28 (4): 589-618 (2011)Experimental Analysis of Overhead Data Processing To Support Long Range Navigation., , , , and . IROS, page 2443-2450. IEEE, (2006)Improving robot navigation through self-supervised online learning., , , , , and . J. Field Robotics, 23 (11-12): 1059-1075 (2006)Learning for Autonomous Navigation., , , , and . IEEE Robotics Autom. Mag., 17 (2): 74-84 (2010)Online Learning Techniques for Improving Robot Navigation in Unfamiliar Domains.. Carnegie Mellon University, USA, (2010)Efficient Optimization of Control Libraries., , , and . AAAI, page 1983-1989. AAAI Press, (2012)Bandit-Based Online Candidate Selection for Adjustable Autonomy., , and . FSR, volume 62 of Springer Tracts in Advanced Robotics, page 239-248. Springer, (2009)Segmentation-based online change detection for mobile robots., , , and . ICRA, page 5427-5434. IEEE, (2011)Anytime online novelty detection for vehicle safeguarding., , and . ICRA, page 1247-1254. IEEE, (2010)Improving Robot Navigation Through Self-Supervised Online Learning., , , , and . Robotics: Science and Systems, The MIT Press, (2006)