• DocumentCode
    2478344
  • Title

    Powering embedded CMOS logic on MEMS-based micro-robots

  • Author

    Cho, Jung H. ; Arnold, Mark G.

  • Author_Institution
    Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2009
  • fDate
    17-18 Sept. 2009
  • Firstpage
    73
  • Lastpage
    77
  • Abstract
    A hypothetical new digital-design paradigm called field programmable robot arrays (FPRAs) has been introduced in which raises a number problems that need to be solved for successful implementation. An FPRA combines CMOS reprogrammable logic with micro-robots having constrained motion and sensing capabilities. The goal of the FPRAs is to build digital-logic structures by physical motion as well as the electronic reconfiguration (commonly used in prior programmable logic). In this paper, we present the development of a circuit for powering the digital logic portion of FPRAs. We assume for physical motion the FPRA uses MEMS-based scratch drive actuator (SDA) micro-robots like those developed by Donald et al. as a foundation to build other features needed to develop FPRA. We validate this by developing Verilog-A model of an electrostatic actuator and simulating in Cadence AMS (analog mixed signal) environment.
  • Keywords
    CMOS logic circuits; electrostatic actuators; hardware description languages; micromechanical devices; microrobots; power supply circuits; Cadence analog mixed signal environment; FPRA; MEMS-based microrobots; Verilog-A model; digital logic structures; electrostatic actuator; embedded CMOS logic; field programmable robot arrays; reprogrammable logic; scratch drive actuator; Actuators; CMOS logic circuits; Medical robotics; Micromechanical devices; Orbital robotics; Programmable logic arrays; Reconfigurable logic; Robotic assembly; Sensor arrays; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Behavioral Modeling and Simulation Workshop, 2009. BMAS 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-5358-0
  • Type

    conf

  • DOI
    10.1109/BMAS.2009.5338884
  • Filename
    5338884