本刊以七大战略性新兴产业——高端装备制造、节能环保、新能源、新材料、新能源汽车、生物、新一代信息技术为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车

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Congestion and hazardous traffic situations for the drivers on the road can occur around work zones and snowplow operation during the winter season due to low visibility. An information warning system for such environments can improve traffic mobility and thereby driver safety. Intelligent transportation systems (ITS) and other related technologies are being aggressively pursued to devise such automated traffic-information systems. Dedicated short-range communication (DSRC) has been considered as a key enabling wireless communication technology to realize such automated traffic warning systems. DSRC-based traffic-information systems use vehicle-to-vehicle (V2V) and/or vehicle-to-infrastructure (V2I) communication using DSRC technology to acquire and disseminate travel safety information. To take advantage of the disseminated information messages, a vehicle needs to be equipped with DSRC technology.

关键词：交通安全；通信系统；信息系统

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This report lists all the research results that have been achieved during the funding period for robot trajectory planning problems and testbed: (i) research goals and milestones, (ii) hardware/software design, integration, and validation, (iii) bio-inspired trajectory planning algorithm, (iv) robot localization and obstacle detection, (v) simulation validation and hardware demonstration. All the research objectives have been accomplished.

关键词：机器人;控制;合作;动力学;非线性系统

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关键词：纳米晶;光致发光;稀土元素;半导体;电荷转移

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This paper presents a novel algorithm for estimating the motion in a series of range images. First, each range image is approximated by applying a high-order polynomial expansion to local neighborhoods within the range image. Then, these approximations are used to derive the translation or displacement estimation from frame to frame within the series of range images (also known as range image flow). An iterative method for computing the translation is presented. We evaluate the algorithm on several synthetic and real-world range image sequences with promising results. Results in this paper are generated from a single iteration of the algorithm in space and time. Therefore, our next step is to improve the implementation of the algorithm so that using multiple spatial scales and past information improve the signal flow estimation, as we would expect. Also, we will port the MATLAB implementation to C++ to improve speed and meet the signal integration goal of the algorithm.

关键词：多项式展开;平面区域检测;多段磁机器人;翻译

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At present,there are many commonly used maximum power point tracking (MPPT) control methods for solar photovoltaic system which have different degrees of output fluctuations.In order to solve the problem and improve the response speed further,a novel MPPT algorithm based on the extreme learning machine was put forward in this paper.Using the extreme learning machine which has small error,fast speed and simple structure train a mathematical model with the environmental temperature and light intensity as input and the maximum power point as output,the model can be used as the controller of the photovoitaic cells.The simulation results show that the error of the model meets the requirements,when the ambient temperature and light intensity change,it can respond quickly so as to photovoltaic cells work at the maximum power point and operate stably.

关键词：光伏; MPPT;极端学习机;快速; SIMULINK

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Thousands of small UAVs are in active use by the US military and are generally operated by trained but not necessarily skilled personnel. The user interfaces for these devices often seem to be more engineering-focused than usability-focused, which can lead to operator frustration, poor mission effectiveness, reduced situational awareness, and sometimes loss of the vehicle. In addition, coordinated control of both air and ground vehicles is a frequently desired objective, usually with the intent of increasing situational awareness for the ground vehicle. The Space and Naval Warfare Systems Center Pacific (SSCPAC) is working under a Naval Innovative Science and Engineering project to address these topics. The UAS currently targeted are the Raven/Puma/Wasp family of air vehicles as they are small, all share the same communications protocol, and are in wide-spread use. The stock ground control station (GCS) consists of a hand control unit, radio, interconnect hub, and laptop. The system has been simplified to an X-box controller, radio and a laptop, resulting in a smaller hardware footprint, but most importantly the number of personnel required to operate the system has been reduced from two to one. The stock displays, including video with text overlay on one and FalconView on the other, are replaced with a single, graphics-based, integrated user interface, providing the user with much improved situational awareness. The SSCPAC government-developed GCS (the Multi-robot Operator Control Unit) already has the ability to control ground robots and this is leveraged to realize simultaneous multi-vehicle operations including autonomous UAV over- watch for enhanced UGV situational awareness.

关键词：图形用户界面;遥控车辆;通信协议;地面车辆

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This chapter presented a comprehensive system for the acquisition of hybrid Semantic 3D Object Maps for kitchen environments. The proposed mapping system includes 2 components, namely: i) a Static Functional Map which contains those parts of the environment with fixed positions and utilitarian functions (walls, floor, kitchen appliances, cupboards, tables, etc); and ii) a Triangulated Surface Map created using decoupled triangular meshes. The former is built either by employing a set of commonsense heuristic rules on the data or by classifying a set of planar regions using simple 3D geometric features, and serves as a semantic resource for an assistant mobile personal robot, while the latter supports 3D collision detection and path planning routines for safe navigation and manipulation.

关键词：全面系统；3D对象映射；机器人；碰撞检测

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The virtual motion camouflage varying manifold based optimal planning algorithm, inspired by the observation in mating hoverflies, is investigated and the performance is enhanced significantly in terms of the convergence speed and collision avoidance capability. The dimension and time complexities of the innovative algorithm are analyzed. A new strategy based on local pursuit is compared with the virtual motion strategy in constructing the varying manifold. The algorithm is validated in an enhanced low cost robot testbed.

关键词：避免碰撞;通信协议;成本低;性能（工程）;机器人

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According to the problem that the intelligence is not high of the soccer robot,using the mechanical theory as a guide,making some mechanical analyses and calculations on the pressure and transmutation states of chip kick mechanics,and conducting optimal design too,then making the structure of chip kick mechanics more and more rationalization.Experiments show that the new soccer robot controller features a quick response and high servo rigidity,and provide a kind of method for improving and perfecting the soccer robot control system,at the same time,filling the needs of producing.

关键词：M序列;信息隐藏;最低有效位算法;安全

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