The role and future challenges of wireless communication networks for cooperative autonomous city vehicles

This paper elaborates on the use of future wireless communication networks for autonomous city vehicles. After addressing the state of technology, the paper explains the autonomous vehicle control system architecture and the Cybercars-2 communication framework; it presents experimental tests of communication-based real-time decision making; and discusses potential applications for communication in order to improve the localization and perception abilities of autonomous vehicles in urban environments.

Improving safety for driverless city vehicles : real-time communication and decision making

This paper elaborates on the Cybercars-2 Wireless Communication Framework for driverless city vehicles, which is used for Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication. The developed framework improves the safety and efficiency of driverless city vehicles. Furthermore, this paper also elaborates on the vehicle control software architecture. On-road tests of both the communication framework and its application for real-time decision making show that the communication framework is reliable and useful for improving the safe operation of driverless city vehicles.

An object-oriented design of a World Model for autonomous city vehicles

This paper presents an object-oriented world model for the road traffic environment of autonomous (driver-less) city vehicles. The developed World Model is a software component of the autonomous vehicle's control system, which represents the vehicle's view of its road environment. Regardless whether the information is a priori known, obtained through on-board sensors, or through communication, the World Model stores and updates information in real-time, notifies the decision making subsystem about relevant events, and provides access to its stored information. The design is based on software design patterns, and its application programming interface provides both asynchronous and synchronous access to its information. Experimental results of both a 3D simulation and real-world experiments show that the approach is applicable and real-time capable.

Learning from insurance data: Injuries to other road users in motorcyclist at-fault crashes

In multi-vehicle motorcycle crashes, the motorcycle rider is less likely to be at-fault but more commonly severely injured than the other road user. Therefore, not surprisingly, crashes in which motorcycle riders are at-fault and particularly the injuries to the other road users in these crashes have received little research attention. This paper aims to address this gap in the literature by investigating the factors influencing the severity of injury to other road users in motorcyclist-at-fault crashes. Five years of data from Queensland, Australia, were obtained from a database of claims against the compulsory third party (CTP) injury insurance of the at-fault motorcyclists. Analysis of the data using an ordered probit model shows higher injury severity for crashes involving young (under 25) and older (60+) at-fault motorcyclists. Among the not at-fault road users, the young, old, and males were found to be more severely injured than others. Injuries to vehicle occupants were less severe than those to pillions. Crashes that occurred between vehicles traveling in opposite directions resulted in more severe injuries than those involving vehicles traveling in the same direction. While most existing studies have analyzed police reported crash data, this study used CTP insurance data. Comparison of results indicates the potential of using CTP insurance data as an alternative to police reported crash data for gaining a better understanding of risk factors for motorcycle crashes and injury severity.

基于网络的多机器人遥操作系统中的人机交互研究

针对基于网络的智能机器人遥操作系统中人机交互的主要难点和现有方法的不足,结合基于网络的多机器人遥操作系统的特点,应用多模式控制的方法丰富了操作者与机器人系统的交互途径,提高了操作效率.在此基础上,为解决网络时延给多机器人遥操作系统中的人机交互带来的问题,提出了一种带有时间标记的基于事件的方法,在保证系统稳定运行的同时提高了系统的效率和性能.实验证明了所提方法的有效性和优越性.

Stabilization of Dynamic Systems for Multiple Omni-Directional Mobile Robots

本文考虑了由2个全方位移动机器人组成的混合动力学系统的协调拟镇定问题.利用机器人位置之间的向量与机器人目标之间向量的内积,设计了多步拟镇定律,该控制律能够在避碰后按指数速率运动到目标点,且在整个过程中两机器人之间的距离不小于避碰的安全距离.最后对2个全方位移动机器人进行了仿真,验证了所给方法的有效性。

分散式控制和管理的UUV体系结构模型研究

针对传统的分层式体系结构在UUV 控制系统开发设计、维护和升级过程中所遇到的困难，首先分析了集中式控制和管理方法的不足和原因。在此基础上，借鉴自主计算的思想，提出了分散控制和管理的体系结构。这种方法把系统中每个独立的功能模块都抽象成为具有相同模型的控制基元，称之为“自主基元”，然后通过自主基元层次式、嵌套式的组织，构成完整的系统。分析表明，这种方法能够缩短控制系统的开发周期，也降低了维护和升级的难度。

水下机器人的神经网络自适应控制

研究了水下机器人神经网络直接自适应控制方法,采用Lyapunov稳定性理论,证明了存在有界外界干扰和有界神经网络逼近误差条件下,水下机器人控制系统的跟踪误差一致稳定有界.为了进一步验证该水控制方法的正确性和稳定性,利用水下机器人实验平台进行了动力定位实验、单自由度跟踪实验和水平面跟踪实验等验证实验.

基于输入和机械手扰动补偿的水下机器人控制实验研究

以搭建的自治水下机器人-机械手系统为对象,通过水池实验分析了载体分系统的响应特性。针对传统的反馈控制在载体控制中的不足,将输入补偿项和机械手扰动补偿项作为载体控制的前馈项,设计了水下机器人复合校正控制器。水池实验验证了方法的可行性和有效性。

无缆自治水下机器人控制方法研究

以成功研制的无缆自治水下机器人 (AUV)为基础 ,对其航行控制和定位控制方法进行了较详细的分析 .同时介绍了它的推进器布置、控制系统结构、推力分配等方法 .最后展示了它的运行实验结果 .

北极冰下自主/遥控机器人控制系统设计与实现

自主/遥控水下机器人是近年来出现的一种新型水下机器人，其自带能源，通过微光缆与水面支持系统相连接，既具有自治水下机器人大范围自主航行的能力，又具有遥控水下机器人定点操作能力，提高了自治水下机器人实时获取数据的能力，扩大了遥控水下机器人的作业范围。由于自主/遥控水下机器人工作方式的灵活性和多样性，其必将会在海洋监测、军事等方面有越来越广泛的应用。 北极是反映全球气候变化的敏感地区，目前世界各国对北极的考察规模越来越大，对极地海洋的探索力度也大幅度增加。由于自主/遥控水下机器人具有灵活的工作方式，将其应用到北极冰下海洋环境监测中，便于满足北极科考的需求。本论文以科考需求为背景，将自主/遥控水下机器人应用到北极海洋环境监测中，为搭载的测量设备提供一个基本的运动平台。 本论文以实现自主/遥控水下机器人控制系统功能为目的，在深入研究已有水下机器人控制系统结构的基础上，开展自主/遥控水下机器人的控制系统软件和硬件设计与实现工作。将CAN总线与PC/104总线应用到自主/遥控水下机器人控制系统中，实现了一种分布式与集中式相结合的控制系统体系结构，将控制系统的可扩展性、实时性、可靠性等结合在一起。 以作者的实际工作为基础，介绍了自主/遥控水下机器人控制系统软、硬件的设计与实现。采用基于CAN总线技术的分布式控制系统体系结构；采用基于PC104嵌入式计算机的数字控制方案进行航行控制系统硬件设计与系统配置；采用嵌入式单片机做为分系统的控制器；在QNX操作系统下用C语言编写水下控制系统软件，采用模块化和标准化的设计思想，将水下控制系统软件分化多个功能模块，每个模块由不同的进程来实现。 实际实验结果表明，本文所设计的控制系统能够达到预期目标；所设计底层硬件系统和底层驱动软件能够给机器人的上层控制软件提供一个稳定基础。

Stabilization of Uncertain Nonholonomic Dynamic Systems with Bounded Inputs

The sliding mode approach and the multi-step control strategy are exploited to propose a stabilizing controller for uncertain nonholonomic dynamic systems with bounded inputs. This controller can stabilize the system to an arbitrarily small neighborhood about its equilibrium in a finite time .Its application to a nonholonomic wheeled mobile robot is described. Simulation result shows that the proposed controller is effective

“探索者”号自治式无缆水下机器人控制软件体系结构

本文详细介绍了我们为“探索者”号自治式无缆水下机器人（以下简称ＡＵＶ）设计的控制软件体系结构。该体系结构可分为使命控制，运动监控与设备操作，实时调度和实时处理四个不同的控制层次及一个全局数据区五部分。

机器人及机器人学中的控制问题

机器人已成为进一步实现制造业、非制造业、军事活动以至家庭服务自动化的重要工具.机器人学则是更综合地研究如何使机器或系统具有“思想、感知或动作功能的一门交叉性新学科”.机器人的发展是波浪式的,经历了多次的曲折.目前工业机器人中除装配机器人外,其他点焊、弧焊、喷漆及搬运机器人,由于应用范围限制,以及工业生产装备更新速度和投资规模的影响,市场日趋饱和.以美国为例.制造商订单1984年达到高峰6046台.至1986年下降至5713台,不过对机器人未来市场大都持乐观态度.但进一步开拓市场.有待于推出适用于各种环境作业的各式各样的机器人.日本东京大学教授认为机器人当前处于又一次高潮的前夜(Nightmare),正是需要大力加强研究开发的时期.我国正在着手建立工业机器人产业,这一情况值得我们注意.本文着重从研究角度来介绍当前机器人及机器人学中的控制问题的现状及主要问题.