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
  • [21] A Distributed Control Architecture for Resource-constrained Autonomous Systems
    Hunter, Aaron
    Vlastos, Pavlo
    Espinosa-Ramirez, Carlos Isaac
    Vanarse, Rishikesh
    Sharma, Rupal
    Elkaim, Gabriel
    SYSCON 2022: THE 16TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON), 2022,
  • [22] Resource-Constrained Neural Architecture Search on Edge Devices
    Lyu, Bo
    Yuan, Hang
    Lu, Longfei
    Zhang, Yunye
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 9 (01): : 134 - 142
  • [23] Architecture Patterns for Mobile Systems in Resource-Constrained Environments
    Lewis, Grace A.
    Simanta, Soumya
    Novakouski, Marc
    Cahill, Gene
    Boleng, Jeff
    Morris, Edwin
    Root, James
    2013 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2013), 2013, : 680 - 685
  • [24] Performance benefits of resource-constrained adaptive filtering
    Dogangay, Kutluyil
    2008 3RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1-2, 2008, : 266 - 269
  • [25] Reducing Microservices Interference and Deployment Time in Resource-Constrained Cloud Systems
    Adeppady, Madhura
    Giaccone, Paolo
    Karl, Holger
    Chiasserini, Carla Fabiana
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 20 (03): : 3135 - 3147
  • [26] Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics
    Just, Fabian
    Ghinami, Chiara
    Zbinden, Jan
    Ortiz-Catalan, Max
    IEEE ACCESS, 2024, 12 : 40439 - 40449
  • [27] Light-weight Object Detection and Decision Making via Approximate Computing in Resource-constrained Mobile Robots
    Pandey, Patel
    He, Qifan
    Pompili, Dario
    Tron, Roberto
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 6776 - 6781
  • [28] Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing
    Liu, Jianchun
    Xu, Hongli
    Wang, Lun
    Xu, Yang
    Qian, Chen
    Huang, Jinyang
    Huang, He
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 22 (02) : 674 - 690
  • [29] Exploring the use of blockchain in resource-constrained fog computing environments
    Sanchez-de la Rosa, Miguel
    Nunez-Gomez, Carlos
    Blanca Caminero, M.
    Carrion, Carmen
    SOFTWARE-PRACTICE & EXPERIENCE, 2023, 53 (04): : 971 - 987
  • [30] Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing
    Setyanto, Arief
    Sasongko, Theopilus Bayu
    Fikri, Muhammad Ainul
    Ariatmanto, Dhani
    Agastya, I. Made Artha
    Rachmanto, Rakandhiya Daanii
    Ardana, Affan
    Kim, In Kee
    IEEE ACCESS, 2025, 13 : 18200 - 18214