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Learning visual object models on a robot using context and appearance cues.

, , and . AAMAS, page 1167-1168. IFAAMAS, (2013)

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From pixels to multi-robot decision-making: A study in uncertainty., , , , , , and . Robotics and Autonomous Systems, 54 (11): 933-943 (2006)Autonomous learning of vision-based layered object models on mobile robots., , and . ICRA, page 6239-6244. IEEE, (2011)Practical Vision-Based Monte Carlo Localization on a Legged Robot., , and . ICRA, page 3366-3371. IEEE, (2005)Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot., and . VISAPP (2), page 682-685. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)978-989-8111-21-0.Incremental knowledge acquisition for human-robot collaboration., and . RO-MAN, page 809-814. IEEE, (2015)Incremental Knowledge Acquisition with Selective Active Learning., and . AAMAS, page 1865-1866. ACM, (2015)Incremental Knowledge Acquisition with Selective Active Learning: (Doctoral Consortium)., and . AAMAS, page 1993-1994. ACM, (2015)Towards Illumination Invariance in the Legged League., and . RoboCup, volume 3276 of Lecture Notes in Computer Science, page 196-208. Springer, (2004)A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics., , , and . CoRR, (2015)Towards Eliminating Manual Color Calibration at RoboCup., and . RoboCup, volume 4020 of Lecture Notes in Computer Science, page 673-681. Springer, (2005)