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Intelligent Adaptive Mobile Robots. Make robot learning practical by integration with human-supplied knowledge Solve huge problems through continuous reframing Achieve robustness by explicit uncertainty modeling and information gathering. world. reward.
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Intelligent Adaptive Mobile Robots • Make robot learning practical by integration with human-supplied knowledge • Solve huge problems through continuous reframing • Achieve robustness by explicit uncertainty modeling and information gathering world reward • Dec 1999. Robot learning more efficient than human programming alone for hallway navigation. • March 2000. Vision-based navigation in realistic simulation. • June 2000. Robot learning more efficient for complex robot task. • Dec 2000. Extended operation in highly complex surveillance and delivery domain. • Fast development of robust, agile mobile robot software • Robots capable of extended operations in complex, uncertain multi-objective domains