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Intelligent object manipulation is critical for a robot to effectively operate in a household environment. There are many grasp planners that can estimate grasps based on object shape, but these approaches often perform poorly because they miss key information about non-visual object characteristics. Object model databases can account for this information, but existing methods for database construction...
Object recognition and manipulation are critical in enabling robots to interact with objects in a household environment. Construction of 3D object recognition databases is time and resource intensive, often requiring specialized equipment, and is therefore difficult to apply to robots in the field. We present a system for constructing object models for 3D object recognition and manipulation made possible...
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