Using artificial intelligence planning to generate antenna tracking plans

被引：0
|
作者：
Fisher, Forest [1 ]
Estlin, Tara [1 ]
Mutz, Darren [1 ]
Chien, Steve [1 ]
机构：
[1] California Inst of Technology, Pasadena, United States
来源：
Proceedings of the National Conference on Artificial Intelligence | 1999年
关键词：
Antennas - Planning - Radar astronomy - Radio systems - Scheduling - Space stations - Telecommunication links - Telemetering - Tracking (position);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper describes the application of Artificial Intelligence planning techniques to the problem of antenna track plan generation for a NASA Deep Space Communications Station. The described system enables an antenna communications station to automatically respond to a set of tracking goals by correctly configuring the appropriate hardware and software to provide the requested communication services. To perform this task, the Automated Scheduling and Planning Environment (ASPEN) has been applied to automatically produce antenna tracking plans that are tailored to support a set of input goals. In this paper, we describe the antenna automation problem, the ASPEN planning and scheduling system, how ASPEN is used to generate antenna track plans, the results of several technology demonstrations, and future work utilizing dynamic planning technology.
引用
收藏
页码：856 / 863
相关论文
共 50 条
  • [1] Using Artificial Intelligence planning to generate antenna tracking plans
    Fisher, F
    Estlin, T
    Mutz, D
    Chien, S
    SIXTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-99)/ELEVENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-99), 1999, : 856 - 863
  • [2] Travel Plans in Public Transit Networks Using Artificial Intelligence Planning Models
    Elizalde-Ramirez, Fernando
    Sanchez Nigenda, Romeo
    Martinez-Salazar, Iris A.
    Rios-Solis, Yasmin A.
    APPLIED ARTIFICIAL INTELLIGENCE, 2019, 33 (05) : 440 - 461
  • [3] Trajectory planning using artificial intelligence
    Eroglu, M.
    Gill, K.F.
    Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 1993, 207 (B3) : 193 - 198
  • [4] Tracking of Nutritional Intake Using Artificial Intelligence
    Petkovic, Marko
    Maas, Joyce
    Petkovic, Milan
    CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023, 2023, 302 : 1033 - 1034
  • [5] TRAJECTORY PLANNING USING ARTIFICIAL-INTELLIGENCE
    EROGLU, M
    GILL, KF
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 1993, 207 (03) : 193 - 198
  • [6] 2D-Localization Based on Tracking Antenna Using Artificial Intelligence Mapping (AIM) Approach
    Madany, Yasser M.
    IEEE ACCESS, 2023, 11 (94428-94441) : 94428 - 94441
  • [7] Adaptive Visual Tracking System Using Artificial Intelligence
    Kalirajani, K.
    Sudha, M.
    Rajeshkumar, V.
    Jamaesha, S. Syed
    2012 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2012, : 954 - 957
  • [8] Detection and tracking of barchan dunes using artificial intelligence
    Cunez, Esteban A.
    Franklin, Erick M.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [9] ARTIFICIAL-INTELLIGENCE IN PLANS DRAWING
    GIANNESINI, F
    NOUVEL AUTOMATISME, 1980, 25 (18): : 59 - 66
  • [10] Railway station planning using artificial intelligence techniques
    Florio, L
    Mussone, L
    COMPUTERS IN RAILWAYS V, VOL 1: RAILWAY SYSTEMS AND MANAGEMENT, 1996, : 203 - 212
12345