Earthshaker: A mobile rescue robot for emergencies and disasters through teleoperation and autonomous navigation

To deal with emergencies and disasters without rescue workers being exposed to dangerous environments, this paper presents a mobile rescue robot, Earthshaker. As a combination of a tracked chassis and a six-degree-of-freedom robotic arm, as well as miscellaneous sensors and controllers, Earthshaker is capable of traversing diverse terrains and fulfilling dexterous manipulation. Specifically, Earthshaker has a unique swing arm—dozer blade structure that can help clear up cumbersome obstacles and stabilize the robot on stairs, a multimodal teleoperation system that can adapt to different transmission conditions, a depth camera-aided robotic arm and gripper that can realize semiautonomous manipulation and a LiDAR aided base that can achieve autonomous navigation in unknown areas. It was these special systems that supported Earthshaker to win the first Advanced Technology & Engineering Challenge (A-TEC) championships, standing out of 40 robots from the world and showing the efficacy of system integration and the advanced control philosophy behind it.     

Structure of the human CLC-7/Ostm1 complex reveals a novel state

CLC-7 functions as a Cl?/H+ exchanger in lysosomes. Defects in CLC-7 and its β-subunit, Ostm1, result in osteopetrosis and neurodegeneration. Here, we present the cryogenic electron microscopy (cryo-EM) structure of the human CLC-7/Ostm1 complex (HsCLC-7/Ostm1) at a resolution of 3.6 ?. Our structure reveals a new state of the CLC-7/Ostm1 heterotetramer, in which the cytoplasmic domain of CLC-7 is absent, likely due to high flexibility. The disordered cytoplasmic domain is probably not able to restrain CLC-7 subunits and thus allow their relative movements. The movements result in an approximately half smaller interface between the CLC-7 transmembrane domains than that in a previously reported CLC-7/Ostm1 structure with a well-folded cytoplasmic domain. Key interactions involving multiple osteopetrosis-related residues are affected by the interface change.     

基于轻量化深度学习网络的数字仪表识别

数字式仪表常用于变电站、工厂等生产环境,是一种直观的设备监测仪器。然而当前数字式仪表的读取方式还依赖于人工巡检,手动记录等,这些传统的巡检方式来监测设备的运行状态大大降低了巡检效率。为了实现传统行业的数字化转型,本文提出基于轻量化深度学习的数字仪表识别方法,通过改进的YOLOv5的目标检测框架,针对数字仪表目标区域在整张图片大小不一致的情况,提出对于感兴趣区域（ROI）的迭代目标检测方法,首次检测将感兴趣区域进行检测并切割统一到相同的尺度,随后迭代检测网络针对感兴趣区域内的字符进行检测并分类,以达到精确读数的目的。为提升多尺度检测性能,本文采用Res2Net模块主干网络中的的残差模块。采用GIoU取代通用的IoU作为位置损失函数加速模型训练效果的收敛。实验表明,改进后的框架实现了99.62%的准确率和99.55%的召回率,相比基线网络分别提升了12.72%和5.85%。通过将框架在边缘计算平台上的终端部署,在实际生产中取代了人工巡检,实现了商业化运行。     

测长仪器数字化微机化改造中的精度保证

本文介绍了测长仪器数字化微机化改造中的精度保证方法:标尺倾斜调整法和计算机软件补偿法。作者将这些方法应用于万能工具显微镜的改造中,获得了满意的效果。该方法简单有效,而且亦适用于新测长仪器的制造。文中还对测长标尺的制造提出了“标尺刻度间距的公差带应正向单向布置”的指导性意见。     

江西樟树四特酒香味成分的GC／MS分析

通过对四特酒进行化学处理、分类收集组分,采用GC/MS联用技术对各组分进行分离与定性定量测定,分离出130多个色谱峰,鉴定出65个化合物.     

上海市集成电路及机电一体化产品的比较优势研究

本文用一种“节汇成本比较”的方法,对上海市集成电路及机电一体化产品的比较优势进行调查研究,提出了上海市在这两个产品领域发展重点的建议。     

从射影观点看三角形“五心”定理的变形

本文用射影观点考察三角形的“五心”定理,通过配极变换推出五个新的命题。     

含铝高速钢中奥氏体非均匀长大的机制

M2AI和M2高速钢经一次和二次淬火后,奥氏体晶粒和未溶碳化物的定量研究表明,在高温r/f比值相同的条件下,由于淬火前原始组织的差别,可发生正常(均匀)和异常(非均匀)两类长大。根据异常粗晶形成初期的组织观察,提出了“连续-非连续”再结晶模式和“合并—推移”式的生长机制。提出了减轻或消除M2AI钢混晶的工艺原则。     

外加电磁场对火焰结构及燃料燃烧特性的影响

燃料在电、磁场作用下的燃烧是一个新的跨学科性质的研究课题.它涉及磁流体发电、空间技术中电磁燃烧技术的应用以及能源与动力工程中能量转换与效率.本文从实验和理论两个方面,扼要地报导了碳氢燃料在外加磁场、电场影响下的火焰结构及其燃烧特性.把近年来我研究小组的主要研究结果汇总发表.