Workspace Atlases for the Design of Spherical 3-DOF Serial Wrists

In this paper, the physical model of the solution space of spherical 3-DOF serial wrists is established. The reachable workspaces are classified. The dexterous workspaces for such wrists are investigated based on the rotatability conditions for the spherical 4-bar mechanism. Using the theory of conformal transformation, we obtain plane figures of the reachable and dexterous workspaces. The atlases of the workspaces in the physical model of the solution space are plotted. These results are useful not only for designer overall to understand the relationship between the workspaces and link lengths of spherical 3-DOF serial wrists, but also for the design of the wrists.     

Construction and locomotion analysis of modular robots with pneumatic-actuated and binary-controlled expandable cubes

This paper presents the construction and locomotion analysis of the modular robots composed of expandable cubes (E-Cubes). The kinematic properties and experiment research of the assembled modular robots are the main focus of the paper. The E-Cube consisted of only prismatic joints is a cubic module with three degrees of freedom corresponding to three mutually perpendicular directions. The modular robots are constructed by connecting the vertex or edge of the adjacent modules. In this paper, first, the modular robot system including the E-Cube hardware, connection method of modules and a potential binary control strategy is described. And then, the detailed kinematics, stability and motion simulations of three configurations assembled with four modules are analysed. After that, a set of experimental pneumatic-based robotic system is built. At last, the gait experiments of the configurations are carried out to testify the feasibility and validity of design and locomotion functions. The experiment results show the reliability of the mechanical, control and pneumatic systems and the programming and control efficiency of the binary control strategy. As extension, a modular robot with eight modules is assembled, and its different locomotion gaits are simulated accordingly.     

一种带自检功能的自重构机器人运动规划算法

针对目前模块化自重构机器人集中式运动规划算法的不足,对自重构机器人建立元胞自动机模型,采用分布式算法对自重构机器人的运动进行规划;通过加入了自检和优先级的功能,对分布式算法进行改进,简化了规则,使自重构机器人顺利翻越障碍;仿真实验结果表明,采用改进后的运动规划算法,自重构机器人能成功翻越比自身高的障碍物.     

Modular Reconfigurable Robots in Space Applications

Robots used for tasks in space have strict requirements. Modular reconfigurable robots have a variety of attributes that are well suited to these conditions, including: serving as many different tools at once (saving weight), packing into compressed forms (saving space) and having high levels of redundancy (increasing robustness). In addition, self-reconfigurable systems can self-repair and adapt to changing or unanticipated conditions. This paper will describe such a self-reconfigurable modular robot: PolyBot. PolyBot has significant potential in the space manipulation and surface mobility class of applications for space.     

Development of adaptive locomotion of a caterpillar-like robot based on a sensory feedback CPG model

This paper presents a novel control mechanism for generating adaptive locomotion of a caterpillar-like robot in complex terrain. Inspired by biological findings in studies of the locomotion of the lamprey, we employ sensory feedback integration for online modulation of the control parameters of a new proposed central pattern generator (CPG). This closed-loop control scheme consists of the following stages: First, touch sensor information is processed and transformed into module states. Then, reactive strategies that determine the mapping between module states and sensory inputs are generated according to an analysis of the module states. Finally, by means of a genetic algorithm, adaptive locomotion is achieved by optimising the amount and speed of sensory input that is fed back to the CPG model. Incorporating the closed-loop controller in a caterpillar-like robot, both simulation and real on-site experiments are carried out. The results confirm the effectiveness of the control system, based on which the robot flexibly adapts to, and manages to crawl across the complex terrain.     

A system of models contribution to production network (PN) theory

In Production Networks’ (PN) planning and control, innovative concepts and solutions may result from exploiting network properties. Simultaneous application of selected interrelated models, representing a system models, may generate very efficient solution procedures for PN planning and control as pointed out for several problem types. Such Model systems may be interpreted as part of a theory conjecture for PN, based on a topological core. All models appear as embedded structures of network units and connections, carrying fold/unfold properties of graphs and systems. Interoperability requirements induce standardizations for the models. The proposed theory approach intends to provide solution approaches for PN problems.     

Cartesian control of robots without dynamic model and observer design

Most control algorithms for rigid robots are given in joint coordinates. However, since the task to be accomplished is expressed in Cartesian coordinates, inverse kinematics has to be computed in order to implement the control law. Alternatively, one can develop the necessary theory directly in workspace coordinates. This has the disadvantage of a more complex robot model. In this paper, a control-observer scheme is given to achieve exact Cartesian tracking without the knowledge of the manipulator dynamics nor computing inverse kinematics. Also, only joint measurements are used.     

基于模块化的容错技术在测控系统软件开发中的应用研究

软件开发中可以通过模块化的方法提高代码的重用率,但不同系统调用相同的模块,将使得各系统发生共同故障的可能性大大增加.为提高软件的可靠性,将容错技术引入到模块化方法开发的测控系统软件中,根据测控系统自身的特点,从数据、操作、硬件及软件四个方面讨论了软件开发中的避错、容错方法.在我们所研制开发的驱动桥综合性能实验台软件系统开发中的应用表明,该方法在提高代码重用率,降低开发周期的同时,也显著提高软件系统的可靠性.     

一种新的六自由度并联机器人分散控制方法

结合六自由度并联机器人机构的特点.提出一种新的分散控制方法.首先依据机构特点指出了关节空间内惯性矩阵块对角占优特性,从而将耦合强烈的邻近支路加以整体考虑,即分散控制3个两输入两输出子系统;然后将惯性矩阵的逆分解为块对角矩阵与耦合矩阵之和,从而得到每个子系统的动力学方程;最后针对子系统负载随机构运动而变化的特点引入线性变参数(LPV)控制方法,降低了使用线性定常控制器的保守性.仿真结果表明了所提出方法的有效性.     

工业机器人遥操作系统的空间映射与控制策略

针对工业机器人遥操作系统中存在的主从机器人工作空间差异以及运动控制精度与安全问题,提出了一种工作空间映射算法与位置—速度混合控制策略。首先,将遥操作划分为自由运动和交互两个阶段,在自由运动阶段采用映射算法使主从机器人的工作空间高度覆盖,使主机器人可操控的从机器人运动范围最大化。进一步,在交互阶段设计了一种位置—速度混合控制策略对工业机器人的运动进行准确的控制,使主从机器人的实际位置轨迹准确的跟随,并进一步引入反馈引导力以实现安全的控制。最后在Touch-ABB IRB120主从机器人遥操作实验平台上对所提控制方法进行验证,实验结果表明该方法使得主从机器人运动范围在高度覆盖的同时可以保证遥操作控制的精度。     

基于主—从控制的双足机器人动步态行走

本文给出一种基于主-从控制实现双足机器人动步态行走的控制方法.该方法计算量小,可以在线规划步态及实现双脚支撑期平滑的动态切换.仿真及实验结果验证了方法的有效性及可行性,实现了变步态动态行走.实验所采用的装置为 HLTR—13双足机器人.该机器人重65kg,高1.1m,具有12个自由度.实验结果表明,本文给出的方法能较好地实现变步态动态行走。从而使机器人具有较强的环境适应能力.     

基于行为的轮式移动机器人导航控制

介绍了一种轮式移动机器人CASIA-I及其运动机构,针对该运动机构给出了机器人的运动方程和基于行为的导航控制算法,并根据该算法进行了软件仿真和实物实验．实验结果表明,该导航控制算法是一种有效的导航算法．     

A Control Strategy for Terrain Adaptive Bipedal Locomotion

Rhythmic movements of a five-link sagittal biped with muscle-likeactuators are considered. In walking, as the support phases changecontact is periodically made with the environment. The inputs toevery actuator are modeled after the inputs to muscles in mammals. Thesystem possesses intrinsic position and velocity feedback due to theactuator dynamics. A control strategy is articulated that is novelin that it; a) is physiologically viable; b) simplifies the dynamics;and c) adapts to the speed of walking, going up and down stairs,going up or down inclines, maneuvering over obstacles or holes, andthe tempo and stride length of walking. Walking simulations of afive-link sagittal biped are presented.     

一处室内轮式自主移动机器人的导航控制研究

介绍了一种室内移动机器人CASIA-I.对该机器人的运动机构做了较为详细地阐述,针对该运动机构给出了机器人的运动方程和一种导航控制算法,并根据该算法进行了软件仿真和实物实验.在软件仿真和实物实验两种环境下,机器人都能够实时避开障碍物奔向目标.仿真和实验表明:该移动平台具有良好的可靠性,且该导航控制算法是一种有效的导航算法.     

基于修正因子模糊PID控制在升力鳍系统中的应用

应用基于量化因子和决策因子自修正的模糊PID控制算法来改进升力控制减摇鳍系统,并利用子模糊系统自动调整量化因子和决策因子,从而改善基本模糊控制器的稳态和动态性能.模糊控制算法与传统PID控制的有机结合,使升力鳍系统控制精度、鲁棒性以及自适应性得到显著改善.基于该算法的某型船舶仿真结果表明,该复合控制算法使升力鳍系统能够在各种海况下均具有良好的减摇效果.     

Controlling fast spring-legged locomotion with artificial neural networks

Controlling the model of an one-legged robot is investigated. The model consists merely of a mass less spring attached to a point mass. The motion of this system is characterised by repeated changes between ground contact and flight phases. It can be kept in motion by active control only. Robots that are suited for fast legged locomotion require different hardware layouts and control approaches in contrast to slow moving ones. The spring mass system is a simple model that describes this principle movement of a spring-legged robot. Multi-Layer-Perceptrons (MLPs), Radial Basis Functions (RBFs) and Self-Organising Motoric Maps (SOMMs) were used to implement neurocontrollers for such a movement system. They all prove to be suitable for control of the movement. This is also shown by an experiment where the environment of the spring-mass system is changed from even to uneven ground. The neurocontroller is performing well with this additional complexity without being trained for it.     

An intelligent multi-constraint finite capacity-based lot release system for semiconductor backend assembly environment

This paper presents an intelligent multi-constraint finite capacity-based lot release system which has been designed, developed and implemented to solve the lot release problems in a discrete manufacturing environment with huge product mix and multitude of capacity constraints. This system releases lots by firstly prioritising them according to a multi-attribute lot prioritization criteria, and then by applying predefined multiple capacity constraints to the sorted queue of lots. Finally the finite resource capacity is allocated to them sequentially. This system is designed to be adaptable and re-configurable in response to the dynamic changes in the manufacturing environment.The system can be configured to operate in both an automatic and manual lot release modes. When the system is triggered under the automatic lot release mode, it will perform lot releases automatically based on the latest lot orders information and the predefined configuration, parameters and capacity constraints. It facilitates the auto generation of lot release schedule during night shifts when the production control personnel is off duty, as the system can be triggered through scheduled task provided by the computer's operating system. The manual release mode is designed to cater for fine adaptation of the lot release schedule generated by the system through potential human intervention, through which, a user is allowed to adjust the lot release schedule, in response to some last minute urgent requests from the customers and unexpected events from the shop floor. Detailed reporting tools that provide a snapshot of the lot release results controlled by the various capacity constraints are available for analysis and further refinement of the lot release schedule.This system has been successfully implemented in a few Semiconductor Backend Assembly companies, and in most of these implementations, with direct integration to their existing manufacturing systems such as the Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES).