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报告分类:外文技术报告 检索词:人工智能

  • 1.带有不确定参数的轮式移动机器人自适应轨迹跟踪

    [计算机、通信和其他电子设备制造业,] [2015-08-27]

    A wheeled mobile robot (WMR) belongs to the class of non-holonomic systems with highly nonlinear dynamics. Because of their fast maneuvering and energy saving characteristics, these robots are especially popular in following or tracking a pre-defined trajectory. The trajectory of a WMR is controlled with the help of two very different control schemes namely model dependent approach and model free approach. While the model dependent approach relies on a particular model for the controller design, the model free method controls the trajectory with the help of learning methods. A Direct Model Reference Adaptive Controller (D-MRAC) is described for the model based technique, while an Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for the model-free adaptive control design. With the help of simulations, it is shown that data driven intelligent approach is comparable to model dependent approach in terms of tracking performance and therefore can be preferred over complex model dependent adaptive algorithms.
    关键词:移动机器人;自适应控制;人工智能
  • 2.互联网的智能物联网:人工智能与物联网通信网的结合

    [计算机、通信和其他电子设备制造业,] [2015-07-15]

    This chapter introduces the Internet of Intelligent Things (IoIT), the future Internet of Things (IoT) with significant intelligence added to "things". We discuss the importance of Artificial Intelligence approaches to enable such Intelligent Communication Networks. Nowadays, sensor networks are becoming a reality, especially for remote monitoring of events in fields such as healthcare, military, forest integrity or prediction of seismic activity in volcanoes. Intelligent devices and sensors are also appearing, besides electronic home appliances and utilities, as gadgets to mobile phones or tablets. And some of these devices have capability to actuate on the world. This chapter is focused on surveying current approaches for the Internet of all these intelligent things connected and communicating. It addresses artificial intelligence techniques employed to create such intelligence, and network solutions to exploit the benefits brought by this capability.
    关键词:传感器;物联网智能;人工智能;智能通信网络
  • 3.互联网的智能物联网:使人工智能成为物联网与通信网

    [计算机、通信和其他电子设备制造业,信息传输、软件和信息技术服务业,] [2014-11-03]

    This chapter introduces the Internet of Intelligent Things (IoIT), the future Internet of Things (IoT) with significant intelligence added to "things". We discuss the importance of Artificial Intelligence approaches to enable such Intelligent Communication Networks. Nowadays, sensor networks are becoming a reality, especially for remote monitoring of events in fields such as healthcare, military, forest integrity or prediction of seismic activity in volcanoes. Intelligent devices and sensors are also appearing, besides electronic home appliances and utilities, as gadgets to mobile phones or tablets. And some of these devices have capability to actuate on the world. This chapter is focused on surveying current approaches for the Internet of all these intelligent things connected and communicating. It addresses artificial intelligence techniques employed to create such intelligence, and network solutions to exploit the benefits brought by this capability.
    关键词:智能物联网;互联网;通信;人工智能
  • 4.健壮机器人自主性的情境感知

    [计算机、通信和其他电子设备制造业,信息传输、软件和信息技术服务业,] [2014-09-24]

    Contextual awareness refers to having autonomous robots reason about their capabilities and limitation and improve on those limitations through the help of others. This project explored three areas of contextual awareness detecting when anomalous behaviors occur, reacting to situations where plans are failing, and learning new plans through human demonstration. Each of these areas is important in achieving robust, reliable robot autonomy. The work on detecting anomalous behavior focused on finding subtle anomalies that could not be detected from single events; the work on reacting to failing plans focused on deciding when to switch between risk-neutral and risk-seeking policies, for domains in which the goal is to achieve above a certain threshold of reward; and the work on learning new plans focused on complex manipulator trajectories, where multiple human examples are combined so as to smooth out noise in the examples without losing important details. The first and third areas were demonstrated using actual robots; the second area was demonstrated using a video game simulator.
    关键词:人工智能;机器人技术;机器人;自动操作
  • 5.基于多传感器的自主规划机械制造系统

    [计算机、通信和其他电子设备制造业,] [2014-07-18]

    Current trends in precision machinery include increased adaptability,speed and reliability.This,combined with the development of artificially-intelligent automatic sensors can lead to the establishment of highly-reliable and systematic manufacturing systems.During the automation process,equipment process parameters frequently need to be adjusted to match the requirements of different processes.Thus how to best maintain normal equipment operation and stable quality through these frequent adjustments is a key issue for manufacturers.Therefore,high-quality automated production systems allowing for fast-changeover and real-time automatic detection and performance monitoring are effectively needed.
    关键词:嵌入式力传感;多传感器;人工智能
  • 6.SWARMS:可伸缩的蜂群自主机器人和移动传感器

    [计算机、通信和其他电子设备制造业,] [2014-05-29]

    The SWARMS project brings together experts in artificial intelligence, control theory, robotics, systems engineering and biology with the goal of understanding swarming behaviors in nature and applications of biologically-inspired models of swarm behaviors to large networked groups of autonomous vehicles. The main goal is to develop a framework and methodology for the analysis of swarming behavior in biology and the synthesis of bio-inspired swarming behaviors for engineered systems. We are interested in such questions as: Can large numbers of autonomously functioning vehicles be reliably deployed in the form of a 'swarm' to carry out a prescribed mission and to respond as a group to high-level management commands. Can such a group successfully function without a designated leader, with limited communications between its members, and with dynamically changing 'role', for its members. Is there a hierarchy of 'compatibls' models appropriate to swarming/schooling/flocking which is rich enough to explain these behaviors at various 'resolution' ranging from aggregate characterizations of emergent behavior to detailed descriptions which model individual vehicle dynamics.
    关键词:传感器;仿生学;机器人;人工智能;自主导航
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