1 / 20

The MU Mites Robot Team

The MU Mites Robot Team. Marjorie Skubic Derek Anderson Srikanth Kavirayani Mohammed Khalilia Benjamin Shelton Computational Intelligence Research Lab University of Missouri-Columbia. Outline. A sketch interface for one robot (previous) A new sketch interface for controlling a robot team

amity
Télécharger la présentation

The MU Mites Robot Team

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The MU Mites Robot Team Marjorie Skubic Derek Anderson Srikanth Kavirayani Mohammed Khalilia Benjamin Shelton Computational Intelligence Research Lab University of Missouri-Columbia

  2. Outline • A sketch interface for one robot (previous) • A new sketch interface for controlling a robot team • Robot design • Robot formations • Sketch understanding methods • Concluding Remarks

  3. A Sketch Interface for One Robot The user sketches a route map for the robot to follow.

  4. trash boxes crate cabinet chair desk files table A Sketch Interface for One Robot Guinness And the robot follows the sketch. How can we use a sketch-based interface to control a team of robots?

  5. A Sketch Interface for a Robot Team Sketch a robot formation

  6. Robot Design Sensors: IR receiver for commands CMUcam (color) 3 front IR sensors 1 rear IR sensor Use knob setting for ID# Actuators: 2 motors for differential control with wheel encoders and a passive front wheel Servo motor for the camera

  7. Robot Formations • Follow the leader • Leader moves straight • Followers track & follow orange

  8. Robot Formations • Follow the leader in a circle • Leader moves clockwise or counter-clockwise as drawn • Followers track & follow orange

  9. Robot Formations • Follow the leader in a square • Leader moves clockwise or counter-clockwise as drawn • Followers move in squares of a different size

  10. Robot Formations • March side by side • Cameras aimed at the side • Track green & move forward

  11. 1. Go forward 2. Turn right, go forward 3. Turn left, go forward 4. Turn around, go forward Sketch Pad Reference Frame User can set the reference frame Default: Assume initial robot direction is away from the user

  12. Sketch Understanding Methods • Symbol recognition via trained Hidden Markov Models – clockwise and counter-clockwise • Arrow • Line • Rectangle • Ellipse • Triangle From AAAI Fall Symposium 2004 paper (Anderson, Bailey & Skubic)

  13. Sketch Understanding Methods • HMM features • Local angle • Independent of orientation • Global feature • Open vs. closed • Filter out false alarms using local features Feature extraction Feature Distribution for Triangle (left) and Circle (right)

  14. Sketch Understanding Methods Typical HMM Results Correctly recognized Correctly not recognized

  15. Sketch Understanding Methods • Squiggle for a robot icon • Displayed as a solid black circle • Delete robot icon • 2 short lines that intersect • Shown in green • Move robot icon • Grab and drag to new location

  16. PDA to Robot Commands • Formations • March 2 • March 3 • Follow 2-Line • Follow 3-Line • Left Circle • Right Circle • Left Square • Right Square • Control commands • Forward • Reverse • Right turn • Left turn • Turn around • Stop • Initialization • Reset ID • Set ID from sensors

  17. PDA-only Functions • Clear the sketch • Set reference frame • Reference frame instruction • Train IR commands • Toggle IR on/off • Toggle sound on/off

  18. Challenges • Recognizing sketched symbols • Complicated by multiple PDA platforms • Interpreting a configuration of symbols • Editing commands on the PDA • IR communication from PDA to robot • Defining a reference frame for directional commands • Multi-robot formations based on local sensing only

  19. Future Work • Sketch understanding • Explore different features for improved recognition • Extend the recognizer to multi-stroke symbols • Explore hierarchical representations for symbol configurations • Robot control • Scale up to support communication, synchronization, and negotiation between robots • Investigate more complex tasks Publications at www.cecs.missouri.edu/~skubic/Papers Supported in part by the Naval Research Lab

  20. The Team Derek Mohammed Srikanth Ben

More Related