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Titlebook: Robot Intelligence Technology and Applications 3; Results from the 3rd Jong-Hwan Kim,Weimin Yang,Hyun Myung Conference proceedings 2015 Spr

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Path Mapping and Planning with Partially Known Paths Using Hierarchical State Machine for Service Ro to a robot using Learning by Demonstration technique (LfD). The first phase of the algorithm is to map the paths as a hierarchical state machine using the partially known paths. Second phase is to plan the path given the source and destination. The algorithm is implemented and tested using a 2D simulation environment platform, Player/Stage.
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RRT*-Quick: A Motion Planning Algorithm with Faster Convergence Ratees for a faster convergence rate. Branch-and-bound, one of the key extensions of RRT*, prunes the unuseful nodes from the tree to help the search algorithm focus on improving solutions. Since the proposed algorithm generates the initial solution with a lower cost, it can prune unuseful nodes earlier than the conventional RRT*.
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2194-5357 logy and Applications.Written by experts in the field.This book covers all aspects of robot intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive
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A Research Platform for Flapping Wing Micro Air Vehicle Control Studyysis of high level flapping flight controllers. Additionally, besides the physical vehicle and the configurable control module, the platform provides numerous external communication access capabilities to conduct and validate various sensor fusion study for flapping flight control.
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