Morphing Bus: A rapid deployment computing architecture for high performance, resource-constrained robots

被引:7
|
作者
D'Souza, Colin [1 ]
Kim, Byung Hwa [2 ]
Voyles, Richard [3 ]
机构
[1] Univ Minnesota, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Elect Engn, Minneapolis, MN 55455 USA
[3] Univ Denver, Dept Comp Engn, Denver, CO 80208 USA
关键词
D O I
10.1109/ROBOT.2007.363805
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For certain applications, field robotic systems require small size for cost, weight, access, stealth or other reasons. Small size results in constraints on critical resources such as power, space (for sensors and actuators), and computing cycles, but these robots still must perform many of the challenging tasks of their larger brethren. The need for advanced capabilities such as machine vision, application-specific sensing, path planning, self localization, etc. is not reduced by small-scale applications, but needs may vary with the task. As a result, when resources are constrained, it is prudent to configure the robot for the task at hand; both hardware and software. We are developing a reconfigurable computing subsystem for resource-constrained robots that allows rapid deployment of statically configured hardware and software for a specific task. The use of a Field Programmable Gate Array (FPGA) provides flexibility in hardware for both sensor interfacing and hardware-accelerated computation. In this paper, we describe a static reconfiguration architecture we call the Morphing Bus that allows the rapid assembly of sensors and dedicated computation through reusable hardware and software modules. It is a novel sensor bus in the fact that no bus interface circuitry is required on the sensor side - the bus 'morphs" to accommodate the signals of the sensor.
引用
收藏
页码:311 / 316
页数:6
相关论文
共 50 条
  • [1] Rapid resource-constrained hardware performance estimation
    Dwivedi, Basant K.
    Kejariwal, Arun
    Balakrishnan, M.
    Kumar, Anshul
    SEVENTEENTH IEEE INTERNATIONAL WORKSHOP ON RAPID SYSTEM PROTOTYPING, 2006, : 40 - +
  • [2] Wireframe Mapping for Resource-Constrained Robots
    Caccavale, Adam
    Schwager, Mac
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 8658 - 8665
  • [3] Middleware support for resource-constrained software deployment
    Le Sommer, N
    Guidec, F
    DISTRIBUTED APPLICATIONS AND INTEROPERABLE SYSTEMS, PROCEEDINGS, 2003, 2893 : 49 - 60
  • [4] Lightweight Collision Avoidance for Resource-Constrained Robots
    Shahriari, Mohammadali
    Svogor, Ivan
    St-Onge, David
    Beltrame, Givanni
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 8513 - 8518
  • [5] Model Compression for Resource-Constrained Mobile Robots
    Souroulla, Timotheos
    Hata, Alberto
    Terra, Ahmad
    Ozkahraman, Ozer
    Inam, Rafia
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2022, (354): : 54 - 64
  • [6] Sparse depth sensing for resource-constrained robots
    Ma, Fangchang
    Carlone, Luca
    Ayaz, Ulas
    Karaman, Sertac
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2019, 38 (08): : 935 - 980
  • [7] BePOCH: Improving Federated Learning Performance in Resource-Constrained Computing Devices
    Ibraimi, Lenart
    Selimi, Mennan
    Freitag, Felix
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [8] Dynamical Service Deployment and Replacement in Resource-Constrained Edges
    Xiang, Zhengzhe
    Deng, Shuiguang
    Taheri, Javid
    Zomaya, Albert
    MOBILE NETWORKS & APPLICATIONS, 2020, 25 (02): : 674 - 689
  • [9] Dynamical Service Deployment and Replacement in Resource-Constrained Edges
    Zhengzhe Xiang
    Shuiguang Deng
    Javid Taheri
    Albert Zomaya
    Mobile Networks and Applications, 2020, 25 : 674 - 689
  • [10] Maximizing Computing Accuracy on Resource-Constrained Architectures
    Ha, Van-Phu
    Sentieys, Olivier
    2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2023,