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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/118138


    Title: Humanoid robot field programmable gate array hardware and robot-operating-system-based software machine co-designs
    Authors: Feng, H.M.;Wong, C.C.;Xiao, S.R.;Liu, C.C.
    Keywords: humanoid robot;robot operating system;hardware and software co-design;embedded SoC, FPGA system
    Date: 2019-06-07
    Issue Date: 2020-02-25 12:10:58 (UTC+8)
    Abstract: We utilized the robot operating system (ROS) and the embedded system-on-a-chip (SoC)
    field-programmable gate array (FPGA) system to achieve the hardware and software codesign. A novel SoC FPGA processor system architecture is implemented by combining both
    ARM kernel and FPGA technologies. The advanced FPGA with the parallelized utilization
    and the powerful central processing unit (CPU) with universal abilities are adopted to complete
    the hardware and software co-design. The hybrid ROS-based control architectures efficiently
    communicate with each other at nodes to devise the correct sequential procedures and complete
    the full transformation of information in the distributed peer-to-peer topology. The humanoid
    robot platform design is intended to mimic the human body and its related motion to support
    various tasks. Humanoid robot machines have the limbs and trunk like the human body. The
    robot’s structure routing comprises connections between sheet-metal parts and linking motors.
    Motors rotate joints to imitate human motion. Pose and pressure sensors are located at the waist
    and on the undersides of the two feet, respectively. Sensors intuitively perceive relational robot
    situations and outdoor environment information. A kernel control board functions like a human
    brain to gather the whole information. The controller analyzes an appropriated command for
    the motor driver board to realize the suitable joint motion of the robot. A detail humanoid robot
    machine design and its related working events in different experiments are shown in this study
    Relation: Sensors and Materials 31(6), p.1893-1904
    DOI: 10.18494/SAM.2019.2138
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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