Supervisory control of multiple robots in dynamic tasking environments

A military targeting environment was simulated to examine the effects of an intelligent route-planning agent RoboLeader, which could support dynamic robot re-tasking based on battlefield developments, on the performance of robotics operators. We manipulated the level of assistance (LOAs) provided by RoboLeader as well as the presence of a visualisation tool that provided feedback to the participants on their primary task (target encapsulation) performance. Results showed that the participants' primary task benefited from RoboLeader on all LOAs conditions compared to manual performance; however, visualisation had little effect. Frequent video gamers demonstrated significantly better situation awareness of the mission environment than did infrequent gamers. Those participants with higher spatial ability performed better on a secondary target detection task than did those with lower spatial ability. Finally, participants' workload assessments were significantly lower when they were assisted by RoboLeader than when they performed the target entrapment task manually. Practitioner Summary: This study demonstrated the utility of an intelligent agent for enhancing robotics operators' supervisory control performance as well as reducing their workload during a complex urban scenario involving moving targets. The results furthered the understanding of the interplay among level-of-autonomy, multitasking performance and individual differences in military tasking environments.     

室内移动机器人超声传感器导航网络分布研究

对于室内广域移动机器人,超声波传感器网络是能够保证给定导航准确度的一种有效方法。合理的超声波传感器网络分布是实现超声波网络导航的重要条件。论述了超声波网络合理分布的原则,据此提出并分析了获得合理超声波传感器网络分布的四个步骤,仿真试验结果验证了它的有效性。     

Rolling and swaying motion estimation for a mobile robot by using omnidirectional optical flows

Described here is a method for estimating rolling and swaying motions of a mobile robot using optical flow. We have proposed an image sensor with a hyperboloidal mirror for the vision-based navigation of a mobile robot. Its name is HyperOmni Vision. The radial component of optical flow in HyperOmni Vision has a periodic characteristic. The circumferential component of optical flow has a symmetric characteristic. The proposed method makes use of these characteristic to estimate robustly the rolling and swaying motion of the mobile robot. Correspondence to: Y. Yagi e-mail: y-yagi@sys.es.osaka-u.ac.jp     

冗余度机器人运动模型的神经网络辨识及实现

为提高网络学习速度,提出了一种新的动态神经网络结构——状态延迟输入动态递归神经网络.以德国PowerCube^TM模块化机器人为研究对象,将机器人系统返回的关节位置信息和OPTOTRAK30203维运动测量系统测得的机器人末端位置信息作为神经网络的学习样本,对包含各种影响因素的机器人运动模型进行了辨识,所得结果及误差分析,说明了SDIDRNN在学习能力上的优越性.     

形状记忆合金电机在机器人中的应用研究

作为新型功能材料的形状记忆合金(SMA)在工程机械和日常生活中得到了广泛的应用。由SMA构成的结构简单、控制灵活、功率密度大的电机(SMAA)，在机器人系统中具有独特的技术优势。文中详细阐明了SMAA的独特优点和结构类型．综述在机器人中的应用。     

载人两足步行机器人研究现状及其关键技术

鉴于在诸如医疗、福利等众多领域广泛的应用前景,载人两足步行机器人的研发逐渐成为机器人学领域的一个新的热点。介绍了目前载人两足步行机器人的研究现状和相关成果。然后,对该研究的关键内容——步态稳定控制、安全保护和减震系统等作了介绍和分析。     

穿地龙机器人轨迹规划及其运动过程仿真研究

以建立的"穿地龙"机器人轨迹规划数学模型为计算机仿真模型,对"穿地龙"机器人工作时的运动过程进行了计算机仿真研究,编制了大量仿真程序,获得了较好的仿真结果.通过运行仿真程序,可以在计算机上直接观察到"穿地龙"机器人运动的过程.进行"穿地龙"机器人运动学、动力学仿真,该研究工作为改进"穿地龙"机器人试验样机设计,并为设计"穿地龙"机器人工作用机和进行"穿地龙"机器人的应用分析提供了一定的条件.     

工业机器人校正技术及软件设计

机器人末端执行器准确到达预先指定位姿的能力是其重要的技术指标之一,而机器人位姿误差校正补偿技术正是提高机器人位姿精度的有效方法.本文采用机器人位姿误差局部校正方法,建立了机器人工作空间位姿转换矩阵及误差模型.以AdeptOne机器人为对象,利用光电检测手段,自行设计研     

虚拟现实的发展及在机器人系统中的应用与研究

本文全面回顾了虚拟现实技术的发展,及其在机器 人领域的应用与研究;分析了目前所面临的问题及主要研究方向．