PYI: Recognition and Robotic Assembly

总统青年研究人员奖将支持Huttenlocher博士在基于模型的物体识别方面的研究。机器人在复杂场景中的识别速度往往很慢，可靠性也不确定。Huttenlocher博士一直在开发高效和准确的方法，具有可预测或可控制的错误概率。他将把他对基于霍夫的方法的描述扩展到解释树搜索和其他对象识别方法，并计划利用计算几何技术开发新的算法。这些感知能力将用于与布鲁斯·唐纳德博士共同开发的机器人规划和组装系统。

This Presidential Young Investigator Award will support Dr. Huttenlocher's research in model-based object recognition. Robotic recognition in complex scenes tends to be slow and of uncertain reliability. Dr. Huttenlocher has been developing methods that are efficient and accurate, with predictable or controllable error probabilities. He will extend his characterization of Hough-based methods to interpretation-tree search and other object-recognition approaches, and plans to develop new algorithms using techniques of computational geometry. These perceptual capabilities will be used in a robotic planning and assembly system being developed jointly with Dr. Bruce Donald.