Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Design of car battery protection device based on torsion spring

In recent years, electric vehicles are developing rapidly in automotive industry. When involved in accidents, if the batteries of electric cars break, it is likely to cause a short circuit and start a fire. Aimed at this issue, a car battery protection device based on torsion spring has been designed. The car battery protection device can deform in a particular pattern in a collision accident. Impact energy of the accident is absorbed by the deformation, which can significantly reduce impact force on the batteries. Meanwhile, based on the principle of maximum energy absorption, some crucial parameters of the device can be determined. Furthermore, an impact simulation conducted on ANSYS software shows that maximum safety factors can be obtained when the material of car battery protection device is carbon steel. The analysis of “safe space” in the car battery protection device shows that the device can prevent battery damage effectively in general circumstances, which means the reliability of the device has been verified. Therefore, when applied to electric vehicles, the car battery protection device, which can prevent secondary accidents, significantly improves the vehicle security in accidents.     

土工格室在道路加筋和边坡防护上的应用

介绍土工格室在道路加筋和渠道防护中的应用和设计方法,并对土工格室的合理使用和选材提出了建议。     

汽车企业知识产权管理建议

通过分析汽车企业知识产权管理现状,结合企业知识产权管理的基本内容和汽车企业知识产权管理的特点,提出汽车企业知识产权管理体系构建流程、构建难点以及构建要点。针对汽车产业的特殊性,给出知识产权管理在战略制定、基础管理和资源管理方面的建议,以期指导汽车企业以知识产权管理为支撑,做好知识产权高质量创造、高水平保护和高效益运用,赋能汽车产业发展。     

美军数据链的发展及应用

数据链是全球信息栅格（GIG）的重要组成部分,也是实施网络中心战的重要信息手段。文章介绍了美军数据链的特征及应用范围,分析了数据链的未来发展方向。     

FPSO疲劳载荷计算方法研究

FPS0是目前海洋石油开发中经常使用的装置,如何准确的计算出它的使用寿命,对于FPS0的使用和设计至关重要.FPS0既不同于平台也不同于船舶,其疲劳载荷的计算有其特殊性,本文介绍了对于FPSO疲劳载荷的计算方法,实践证明该方法可靠、有效.     

现场直播轨道交通立法听证会的启示

2013年8月15日下午,上海市十四届人大常委会就《上海轨道交通管理条例(修订草案)》(以下简为《条例草案》)举行立法听证会。本次听证会进行了广播现场直播,这是上海举办立法听证会以来的首次尝试。长达3小时的现场直播,充分体现了对民意的尊重、对法律的敬畏。城市快速轨道交通由于其运能大、速度快、安全正点、节能环保等优势,已成为上海市民出行的首选,目前日均客流量达622万乘次。因此,轨道交通管理不仅涉及到广大市民的切身利益,而且关系到如何提升城市管理水平。前不久,《条例草案》通过各种渠道征求到各方面意见共1200多条。为进一步发扬立法民主、提高立法的科学性,上海市人大常委会主任会议决定,就公众意见比较集中的问题举行立法听证会,直接听取各种意见。     

可视化技术及其在铁路微机联锁系统中的应用

作者结合我国铁路人员的现状,研究提出采用可视化和人工智能技术开发微机联锁系统的方法,从而可在设计、开发和使用维护微机联锁系统各个阶段提高系统的可靠性和安全性。     

大跨度中承式钢管系杆混凝土拱桥设计和体会

介绍了一座较大跨度的中承式钢管系杆混凝土拱桥—朝阳东大桥的设计思路和工程主要技术特点,并就设计过程当中的一些体会,对钢管混凝土拱桥的应用提出了一些看法,可以给业内同行提供参考,对今后大跨拱桥设计提供借鉴。     

高速公路管理部门规避临时用工经济风险的方法研究

介绍了某省高速公路管理局通过建立经济责任担保制,规避临时用工的经济风险的相关做法。为我们有效解决合法用工和防范用工单位经济损失之间的矛盾提供了一种全新的解决思路。