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A vision based object recognition subsystem on knowledge-based humanoid robot system is presented. Humanoid robot system for real world service application must integrate an object recognition subsystem and a motion planning subsystem in both mobility and manipulation tasks. These requirements involve the vision system capable of self-localization for navigation tasks and object recognition for manipulation...
Memorization, abstraction, and generation of a time-series of sensors and motion patterns are some of the most important functions for intelligent robots, because these memories are useful for situation recognition and behavior decision making. In conventional research, recurrent neural networks are often used for such memory functions. However, they cannot memorize a lot of patterns and its learning...
In order to realize humanoid robots that support people in their daily lives, on-site humanoid behavior navigation system which a robot behaviors autonomously as well as a robot reacts to the intentions of a human. This paper proposes new on-site navigation interface method for humanoid robots which a human navigate a humanoid robot hand-in-hand. Previous humanoid researches aim to realize an autonomous...
This paper presents a mobile robotic system for human assistance in navigation-the robot navigates by receiving visual instructions from a human being and is able to replicate them autonomously. We describe three generic components defined as the HOST, the VISION, and the CONTROL components as well as their integration in our teachable mobile robot. These components are connected to each other via...
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