Real-World Robotics: Learning to Plan for Robust Execution

In executing classical plans in the real world, small discrepancies between a planner's internal representations and the real world are unavoidable. These can conspire to cause real-world failures even though the planner is sound and, therefore, proves that a sequence of actions achieves the goal. Permissive planning, a machine learning extension to classical planning, is one response to this difficulty. This paper describes the permissive planning approach and presents GRASPER, a permissive planning robotic system that learns to robustly pick up novel objects.     

反向回转双激振器振动机控制同步的理论研究

本文对两激振器作反向回转的振动机控制同步进行了理论研究和计算机仿真。推导出了考虑质心偏移时两主轴的转矩差方程，在此基础上建立了控制系统的数学模型，设计了具有鲁棒性的非线性变结构滑模控制器．仿真结果表明，控制同步不仅可以消除由质心偏移、电机特性差等原因引起的稳态相位差，同时还能大大降低瞬态相位差，从而使机体的振动方向保持不变，减小起、制动过程中机体的摇摆振动．     

Machine assignment and part-families formation using group technology

The conventional way of solving the group technology (GT) problem is to start from an assignment of parts to machines and try to find a partitioning of machine cells and part families. The similarity between parts is measured based on commonality of the machines assigned to them. However, parts are assigned to machines based on their operation requirements and the operation capabilities of machines. Similarity between parts should be based on their required operations. In this paper, the authors attempt to solve or facilitate solving the GT problem at the assignment level. An algorithm for assigning parts to machines is provided which utilizes the types of operations required by parts and applies GT principles in producing the assignment. This leads to better partitioning of machine cells and part-families. Furthermore, operation sequences required by parts in determining the similarity between parts have been considered. An algorithm to form part-families based on the operation sequence similarity coefficient has been developed. The resulting families are then used by the assignment algorithm to produce machine assignments to part-families. The use of the algorithm is demonstrated by examples.     

Neural networks for contract bridge bidding

The objective of this study is to explore the possibility of capturing the reasoning process used in bidding a hand in a bridge game by an artificial neural network. We show that a multilayer feedforward neural network can be trained to learn to make an opening bid with a new hand. The game of bridge, like many other games used in artificial intelligence, can easily be represented in a machine. But, unlike most games used in artificial intelligence, bridge uses subtle reasoning over and above the agreed conventional system, to make a bid from the pattern of a given hand. Although it is difficult for a player to spell out the precise reasoning process he uses, we find that a neural network can indeed capture it. We demonstrate the results for the case of one-level opening bids, and discuss the need for a hierarchical architecture to deal with bids at all levels.     

落脚河水电站引水发电系统的调节保证计算分析

水轮发电机组在运行中遇到启动、正常停机、增减负荷、事故甩负荷等工况变化时，经常会引起引水发电系统的水力过渡过程，所以在设计中必须通过调节保证计算以选择合适的导叶调节规律及其调节时间，从而优化压力引水系统的运行工况，使水电站的水工建筑物布置既经济合理又安全可靠。     

球头碗球面加工组合机床设计

根据球面形成原理,利用铣刀和工件的两个圆运动,合成球头碗的不完整内球面。采用组合机床,结构简单,调整、维护方便,主轴弹性卡头便于工件装卸。对零件尺寸、形状和位置误差进行了分析。通过对铣刀和主轴电机的变频调速,找出最佳切削参数,实现了内球面的高效率高精度加工。     

EDT机床监控系统的研究开发

介绍可编程控制器FX2N－80MR在EDT机床逻辑控制系统中的应用，详细介绍了EDT机床监控系统的构成，功能及其实现方法。     

束流测量中的工频陷波器

提出了一种应用于电子束曝光机束流测量中的自动跟踪工频陷波器，给出电路结构，基于对其工作原理的分析，介绍了提高陷波器跟踪精度的设计要点及调试方法。