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Temporal Planning in Space Brian C. Williams 16.412J/6.834J based on \Handling Time: February 23rd, 2004 Constraint-based Interval Planning,\ by David E. Smith Outline Operational Planning for the Mars Exploration Rovers
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Fault Aware Systems: Model-based Programming and Diagnosis Brian C. Williams 16.412J/6.834J March 8th, 2004 courtesy of JPL Four launches in 7 months MERS CSAIL
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人工势场法是一种简单有效的移动机器人路径规划算法.针对传统人工势场法在路径规划中的一类目标点不可达问题,提出了一种在局部最小点改变斥力角度和设定虚拟最小局部区域的解决方案,同时采用遗传算法对改进算法中斥力改变角度以及虚拟最小局部区域的半径两个参数进行优化.仿真实验说明本文所提算法能在起点和终点之间规划出一条简捷、光滑和安全的路径
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Mapping Topics: Topological Maps SLAM HMMs Revisited Additional reading: B. J. Kuipers Y.-T. Byun. 1991. \A robot exploration and mapping strategy based on a semantic hierarchy of spatial rep rstations. jour. s and
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Model-based Diagnosis a failure is a discrepancy between the model and observations of an artifact a diagnosis restores consistency 1. Enumerate candidates in order of likelihood
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Using the Forest to See the Trees: Context-based Object Recognition Bill Freeman Joint work with Antonio Torralba and Kevin Murphy Computer Science and Artificial Intelligence Laboratory MIT computer vision goal Recognize many different objects under many viewing conditions in unconstrained settings
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Fast Solutions to CSPs Presented by: Robert Effinger Dan Lovell Presented To: 16.412J Cognitive Robotics MIT References: \Dynamic Backtracking\ Matthew L. Ginsberg, CIRL, University of Oregon Journal of Artificial Intelligence Research 1(1993)
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《工程科学学报》:四足机器人软硬地面稳定过渡的腿部主动变刚度调节策略( 武汉科技大学)
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《工程科学学报》:校庆专刊:协作机器人智能控制与人机交互研究综述(北京科技大学)
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《工程科学学报》:基于深度循环神经网络的协作机器人动力学误差补偿
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