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MANIPULATION

A geometrical placement planner for unknown sensor-modelled objects and placement areas

Johannes Baumgartl, Per Kaminsky, Dominik Henrich

发表年份
2013
引用次数
4

摘要

A Personal Robot should be able to handle possible unknown objects in unknown environments. For a manipulation task the question what to do with an object once it had been grasped is one of the most essential ones beside the grasping task itself. We propose a placement planner for sensor-modelled objects in complex environments. The planner computes a stable position and orientation for the object in the environment. The algorithm uses only geometric information, most notably no force or torque sensor is required. In particular, we introduce a novel approach regarding the configuration computation. By means of experiments with various household objects the robustness and performance are validated. Further on, we compare our approach to a configuration computation using a physics simulation framework.

关键词

PlannerRobustness (evolution)ComputationComputer scienceRobotOrientation (vector space)Computer visionTask (project management)Object (grammar)Artificial intelligence

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