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
来源
PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10 | 2007年
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
  • [31] TinyTate: computing the tate pairing in resource-constrained sensor nodes
    Oliveira, Leonardo B.
    Aranha, Diego F.
    Morais, Eduardo
    Daguano, Felipe
    SIXTH IEEE INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS, PROCEEDINGS, 2007, : 318 - 323
  • [32] Context-Aware Task Handling in Resource-Constrained Robots with Virtualization
    Hadidi, Ramyad
    Ghaleshahi, Nima Shoghi
    Asgari, Bahar
    Kim, Hyesoon
    2023 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING AND COMMUNICATIONS, EDGE, 2023, : 255 - 261
  • [33] A LIGHTWEIGHT FEATURE FUSION ARCHITECTURE FOR RESOURCE-CONSTRAINED CROWD COUNTING
    Chaudhuri, Yashwardhan
    Kumar, Ankit
    Phukan, Orchid Chetia
    Buduru, Arun Balaji
    arXiv, 2024,
  • [34] SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
    Fedorov, Igor
    Adams, Ryan P.
    Mattina, Matthew
    Whatmough, Paul N.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [35] Dynamic Collaboration Between Networked Robots and Clouds in Resource-Constrained Environments
    Pandey, Parul
    Pompili, Dario
    Yi, Jingang
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 12 (02) : 471 - 480
  • [36] Neural Architecture Search for Resource-Constrained Internet of Things Devices
    Cardoso-Pereira, Isadora
    Lobo-Pappa, Gisele
    Ramos, Heitor S.
    26TH IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (IEEE ISCC 2021), 2021,
  • [37] A holistic approach for resource-constrained neural network architecture search
    Lupion, M.
    Cruz, N. C.
    Ortigosa, E. M.
    Ortigosa, P. M.
    APPLIED SOFT COMPUTING, 2025, 172
  • [38] A high-performance exact method for the resource-constrained project scheduling problem
    Zamani, MR
    COMPUTERS & OPERATIONS RESEARCH, 2001, 28 (14) : 1387 - 1401
  • [39] An Adaptive High-Performance Quantization Approach for Resource-Constrained CNN Inference
    Chin, Hsu-Hsun
    Tsay, Ren-Song
    Wu, Hsin-, I
    2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2022): INTELLIGENT TECHNOLOGY IN THE POST-PANDEMIC ERA, 2022, : 336 - 339
  • [40] Performance-efficient flexible architecture of m-Crypton cipher for resource-constrained applications
    Singh, Pulkit
    Prasad, S. V. S.
    Upadhyay, Shipra
    Singh, Rajan
    AUTOMATIKA, 2024, 65 (04) : 1447 - 1457