苏通大桥钢箱梁制造几何控制三维基准网布设研究

通过对苏通大桥主桥钢箱梁制造几何控制点采集控制网的布网研究，详细介绍了一个极小范围内的高精度施工控制网建立的要素，对比了精密工程测量的控制网和高精度大地控制网的区别，同时提出对控制网网形进行精度估算，以便确定控制网建立的可行性。     

基于改进模糊自适应补偿的柔性关节机器人PD控制

针对柔性关节机器人具有不确定性、轨迹跟踪精度低和抖动的问题,提出一种改进模糊自适应补偿的PD控制方法。该方法在原有模糊自适应控制和PD控制的基础上进行改进,采用改进模糊自适应控制对PD控制进行补偿,以提高存在不确定性条件下的关节轨迹跟踪精度并抑制抖动。通过Lyapunov理论证明了系统的稳定性。仿真结果表明：新型控制器具有良好的自适应能力,与传统PD控制和模糊自适应控制相比,新型控制策略显著提高了关节的轨迹跟踪精度并在一定程度上抑制了关节抖动。     

基于涂层厚度模型的机器人喷涂轨迹规划研究

为了实现大型复杂曲面的喷涂轨迹规划,提出一种基于涂层厚度模型的高铁白车身机器人喷涂轨迹规划方法。基于静态涂层厚度的椭圆双β分布模型,分析喷涂的累计涂层厚度分布规律,提出一种用于评估相对不均匀性的指标RU,并基于RU指标,通过轨迹重叠的方式保证了涂层厚度的一致性。通过曲曲面的分割与合并,实现了喷涂区域的划分,同时基于包围盒法确定了机器人喷涂路径点空间坐标信息。实验结果表明：基于涂层厚度模型的轨迹规划方法能够有效保证喷涂效果的均匀性,并成功应用于高铁白车身的机器人喷涂加工,显著提升了喷涂质量与效率。     

H型钢梁多机器人焊接工作站设计与仿真

针对H型钢梁人工焊接效率低、成本高、劳动强度大且对其自动化生产的研究较少的情况,通过分析其焊接过程,设计一种由两台焊接机器人和一台搬运机器人组成的自动化焊接工作站。利用SolidWorks设计了扩大机器人工作范围的第七轴和保证机器人运行轨迹与焊缝不发生偏离的焊缝自动跟踪系统,在数字化仿真软件Visual Components中搭建机器人焊接工作站布局,采用遗传算法规划最优焊接路径,利用仿真软件完成了编程与仿真。仿真结果表明所建立工作站布局的正确性。     

Robots in machining

Robotic machining centers offer diverse advantages: large operation reach with large reorientation capability, and a low cost, to name a few. Many challenges have slowed down the adoption or sometimes inhibited the use of robots for machining tasks. This paper deals with the current usage and status of robots in machining, as well as the necessary modelling and identification for enabling optimization, process planning and process control. Recent research addressing deburring, milling, incremental forming, polishing or thin wall machining is presented. We discuss various processes in which robots need to deal with significant process forces while fulfilling their machining task.     

高精度机器人打磨系统标定算法研究与实现

针对自主研发的机器人打磨系统打磨精度差等问题,通过误差源分析,分别在工具、工件标定算法及实现方面进行了研究。针对打磨使用刀具的特点,选择合适的工具标定算法,设计辅助标定工装,完成了打磨工具的位姿标定,提高了打磨工具的标定精度。同时根据打磨工件标定算法及工件的特点,设计标定块,利用辅助特征点三点标定方法及合理的测量方法,完成了工件的高精度匹配。通过离线编程生成打磨程序,从而实现了高质量、高精度的机器人打磨作业。     

双履带机器人电液行走控制系统建模与仿真

根据光伏板清扫机器人作业工况特点,提出了一种全液压履带式双阀控双马达驱动系统方案。为满足机器人直线行驶需求,提出双通道等同式交叉耦合同步控制策略,并建立阀控双马达同步控制系统数学模型。利用仿真工具Simulink对原设计系统模型和PID矫正后系统的动态特性性能进行仿真分析。仿真结果表明:校正后系统响应速度和稳定精度得到改善,经校正后,该系统能较好地满足清扫机器人工况要求。     

SafeNet: A methodology for integrating general-purpose unsafe devices in safe-robot rehabilitation systems

Robot-assisted neurorehabilitation often involves networked systems of sensors (“sensory rooms”) and powerful devices in physical interaction with weak users. Safety is unquestionably a primary concern. Some lightweight robot platforms and devices designed on purpose include safety properties using redundant sensors or intrinsic safety design (e.g. compliance and backdrivability, limited exchange of energy). Nonetheless, the entire “sensory room” shall be required to be fail-safe and safely monitored as a system at large. Yet, sensor capabilities and control algorithms used in functional therapies require, in general, frequent updates or re-configurations, making a safety-grade release of such devices hardly sustainable in cost-effectiveness and development time. As such, promising integrated platforms for human-in-the-loop therapies could not find clinical application and manufacturing support because of lacking in the maintenance of global fail-safe properties.     

Child–robot interaction across cultures: How does playing a game with a social robot compare to playing a game alone or with a friend?

The present study investigates how children from two different cultural backgrounds (Pakistani, Dutch) and two different age groups (8 and 12 year olds) experience interacting with a social robot (iCat) during collaborative game play. We propose a new method to evaluate children’s interaction with such a robot, by asking whether playing a game with a state-of-the-art social robot like the iCat is more similar to playing this game alone or with a friend. A combination of self-report scores, perception test results and behavioral analyses indicate that child–robot interaction in game playing situations is highly appreciated by children, although more by Pakistani and younger children than by Dutch and older children. Results also suggest that children enjoyed playing with the robot more than playing alone, but enjoyed playing with a friend even more. In a similar vein, we found that children were more expressive in their non-verbal behavior when playing with the robot than when they were playing alone, but less expressive than when playing with a friend. Our results not only stress the importance of using new benchmarks for evaluating child–robot interaction but also highlight the significance of cultural differences for the design of social robots.     

Intrusion of software robots into journalism: The public's and journalists' perceptions of news written by algorithms and human journalists

This study adopted a two (author: algorithm or journalist) by two (notification of author: real or inverse) between subject design to investigate how the public and journalists perceive the quality of algorithms-written articles compared with human journalist's work. Findings showed that both the public and journalists' evaluations were varied by the manipulation of author notification. That is, the public gave higher scores to the algorithm's work when it was notified as the real author, but they gave lower scores to the algorithm's work when the author was notified as a journalist. It confirmed the public's negative attitude toward journalists' credibility and craving for new information and communication technology (ICT) products/services in Korea. Based on journalists' resistance to change and innovation and the theory of prejudice, it was expected that journalists would be favorable to another journalist's work and unfavorable to an algorithm's work. However, contrary to the hypothetical expectation, journalists also gave higher scores to an algorithm's work and lower scores to a journalist's work. Implications relating to the intrusion of algorithm-written articles into journalism were discussed.