打捆机器人自动控制系统

介绍了莱钢中小型轧钢生产线打捆机器人自动控制系统的硬件配置、软件结构及其主要控制功能，并对打捆定位和打捆过程作了详细说明。     

基于Matlab的教学型机器人空间运动轨迹仿真

根据教学型机器人的实际结构特点，利用Matlab中SimMechanics工具箱建立了运动学仿真模型。并进行机器人关节空间和直角坐标系下的运动仿真。仿真结果表明利用仿真模型可以准确、有效地得到机器人的运动参数和运动轨迹，为机器人分析设计提供了可靠依据。     

五自由度串联机器人手部特殊的转动自由度

应用反螺旋理论，讨论了当反螺旋理个ｈ≠０旋量时，允许转动轴线在空间分布规律。着重地五自由度串联机器人Ｍｏｔｏｍａｎ的运动性质作出分析，且给出其全部５种不同条件下的运动图谱。     

Adaptive tracking control of manipulators: Theory and experiments

This paper considers the trajectory tracking problem for uncertain robot manipulators and proposes two adaptive controllers as solutions to this problem. The first controller is derived under the assumption that the manipulator state is measurable, while the second strategy is developed for those applications in which only position measurements are available. The adaptive schemes are very general and computationally efficient since they do not require knowledge of either the mathematical model or the parameter values of the manipulator dynamics, and are implemented without calculation of the robot inverse dynamics or inverse kinematic transformation. It is shown that the control strategies ensure uniform boundedness of all signals in the presence of bounded disturbances, and that the ultimate size of the tracking errors can be made arbitrarily small. Experimental results are presented for a PUMA 560 manipulator and demonstrate that accurate and robust trajectory tracking can be achieved by using the proposed controllers.     

双机械臂协调：以运动学为基础的模型分析与动态补偿控制方法

本文建立了双机械臂协调系统的主从式控制的非结构模型，并针对两臂具有相同特性和不同特性这两种情形作了稳定性分析，提出特性校正的方法，本文还利用内模原理设计出动态补偿器来克服标定约束的不确定性对系统控制品质的影响，最后给出了实验结果。     

智能控制在现代包装工业中的发展和应用

叙述了反馈控制、自适应、鲁棒自适应，直到智能控制在包装工业中的进展，并阐述了智能控制在现代包装工业的发展中的应用前景。     

机械结构与系统精度通用计算法及其应用——机器人机构误差分析与计算

本文详细论述了机械结构与系统精度的通用计算法,并以 PUMA 型机器人机构和圆柱型空间缩放机构为例,进行了误差分析,建立了相应的误差数模,证明了用精度通用计算法分析机器人机构误差是简单而适用的。     

“勇士号”遥控移动式作业机器人

介绍了８６３智能机器人型号之一－以核工业为应用背景的“勇士号”遥控移动式机器人的作业内容及其主要功能指标，分析了该型号的总体设计思想，同时概括总结了其操作性能，移动性能及计算机系统等方面的技术特点。     

Echolocation — From range to outline segments

A ring of ultrasonic sensors mounted on a mobile robot is used to map a room. The sensors are modelled with an arc model: the object causing the reflection lies on an arc with radius equal to the range and arc angle equal to twice the beam angle. By fusing sensing with motion, a surface is displayed as a sequence of arcs. In this paper, the algorithm for obtaining outline segments from the arcs is presented.