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John (Jizhong) Xiao

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Robotics Research at CCNY John (Jizhong) Xiao Robotics and Intelligent Systems Lab Department of Electrical Engineering City College of New York Tel: 212-650-7268 – PowerPoint PPT presentation

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Title: John (Jizhong) Xiao


1
Robotics Research at CCNY
  • John (Jizhong) Xiao
  • Robotics and Intelligent Systems Lab
  • Department of Electrical Engineering
  • City College of New York
  • Tel 212-650-7268
  • Email jxiao_at_ccny.cuny.edu
  • Website http//134.74.16.73

2
Current Projects
  • NSF MII Planning Project
  • Center of Perceptual Robotics and Intelligent
    Systems (PRISM Center at CCNY)
  • Funding Agency NSF Minority Institutional
    Infrastructure Program
  • Wall-climbing Robot project
  • Funding Agency Army Research Office
  • Smart Brain project
  • Funding Agency NSF Major Research Instrument
    Program

3
Wall-climbing Robot Project
  • Project Title
  • Cooperative Wall-climbing Robots in 3D
    Environments for Surveillance and Target Tracking
  • The objective
  • develop a modular, re-configurable, wall-climbing
    robotic system and to investigate intelligent
    control methods and vision algorithms to control
    and coordinate a team of such robots to perform
    various defense, security, and inspection
    missions.
  • Principle Investigators
  • John Xiao (EE), Zhigang Zhu (CS)
  • Ali Sadegh (ME)

4
Wall-climbing Robot Project
  • Dream
  • transform the present 2-D world of mobile rovers
    into a new 3-D universe.
  • move on ground, climb walls, walk on ceilings,
    transit between surfaces.
  • Applications
  • Urban warfare applications surveillance and
    reconnaissance, weapon delivery, guiding
    perimeter around a building, etc
  • Security and counter-terrorist applications
    intelligence gathering about a hostile situation
    within a building, etc.
  • Inspection and maintenance applications routine
    inspection of buildings, nuclear containment
    domes, and other hard-to-reach places, inspection
    of aircraft, sand blasting of ship hulls, etc.
  • Other Civilian applications assistance in
    firefighting, search and rescue operations, etc.

5
Wall-climbing Robot Project
  • Challenges
  • Adhesive mechanism
  • strong attraction force on various wall surfaces
    (brick, wood, glass, stucco, plaster, and metal)
  • without sacrificing mobility
  • Transition Mechanism
  • wheeled robot to achieve quick motion
  • articulated structure for smooth transition
  • modular design combine two
  • Control/coordination of multiple robot modules
  • Vision research for surveillance applications

6
Existing Technologies and Robots
  • Existing Technologies
  • magnetic attraction devices
  • vacuum suction techniques
  • biologically inspired
  • gecko foot
  • limbed devices
  • aerodynamics attraction
  • vortex attraction technique
  • attraction generated by propeller

7
Existing Technologies and Robots
CMU gecko inspired climber
  • Existing wall-climbers

MSU Flipper Crawler
JPL-Stanford rock climber
Avionic Instruments Inc. Vortex attraction
technique
iRobots Mecho-Gecko
8
Wall Climber Adhesive Mechanism
  • Design alternatives
  • vacuum pumps (MSU climber)
  • vortex attraction device
  • vacuum rotor package

9
Wall Climber Vacuum Chamber Seal
  • Inflated Tube Skirt Seal
  • Flexible Bristle Skirt Seal

attraction force is so strong that it anchored
the device to wall surfaces
trade-off between sealing and mobility
10
Wall Climber Selected Design
  • Selected Design
  • vacuum rotor package
  • flexible bristle skirt seal
  • differential drive
  • pressure force isolation rim (re-foam)
  • improves mobility, enhances sealing by reducing
    the deformation of the skirt

11
Wall Climber Transition Mechanism
  • Transition Mechanism
  • Modular Design

Four wall-climber modules are configured to form
a larger wall-climbing robot which can carry
heavy payload
12
DSP-based Control System
  • Actuator and sensor suite
  • TMS320F2812 DSP from Texas Instruments Inc.
  • 32-bit Processor
  • Target for control applications

13
Wall Climber Software Structure
14
CCNY Wall Climber Prototypes
Prototype II, inflated tube seal
Prototype I, vortex attraction
Prototype III, vacuum rotor package
Prototype II, flexible bristle skirt seal
15
CCNY Wall Climber Prototypes
  • Video

16
Smart Brain Project
  • Project Title
  • Smart Re-configureable Miniature Robot Systems
    Based on System on Programmable Chip Technology
  • NSF MRI Instrument Development
  • The objective
  • to develop highly-adaptive computation module
    based on SoPC technology (FPGA) for ultra-small
    robots
  • to realize onboard sensor processing, advanced
    motion control, and reliable wireless
    communication
  • Principle Investigators
  • Umit Uyar (EE), John Xiao (EE)

17
Project Overview
  • FPGA technology
  • programmable logic ? programmable systems
  • integrate FPGA logic, embedded high-performance
    processors, digital signal processor (DSP)
    blocks, and multi-gigabit transceivers, making
    FPGA a versatile technology for high-end research
    and commercial products.
  • FPGA Device Features
  • Xilinx Virtex-II Pro family FPGA device
  • two 32-bit IBM PowerPC 405 cores
  • FPGA logic, DSP blocks
  • 10M of block RAM, off-chip memory as a gap-stop
    measure
  • Xilinx Intellectual Property (IP) Core library

18
Project Overview
  • Benefits
  • flexibility, reconfigureability
  • hardware reconfigureable, software reprogrammable
  • hardware/software partitioning
  • high-speed logic implementation in FPGA fabric
    high-flexibility software code in Power PC
  • IP core library to achieve basic robotic
    functions
  • pre-verified, reusable
  • satisfy the requirements for control,
    communication, and onboard vision processing
    capability of miniature robots

19
FPGA-based Multiprocessor
  • A processor-centric architecture
  • FPGA fabric is used for custom logic and
    interfaces.
  • Single board FPGA-based multiprocessor for
    robotics applications

20
Recent Progress
  • Logic design for motor control (PWM, encoder
    reading)
  • Demonstration of virtual backbone concept for
    reliable server pooling

Virtex-II Pro ML300 Evaluation board
21
Thank you!
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