Development of Vision-Based Navigation for a Robotic Wheelchair
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Transcript of Development of Vision-Based Navigation for a Robotic Wheelchair
Development of Vision-Based Navigation for a Robotic
WheelchairMatt Bailey, Andrew Chanler, Mark Micire,
Katherine Tsui, and Holly Yanco
University of Massachusetts, Lowell
Bruce Maxwell
Swarthmore College
Outline
• Goal
• Redesign of Wheeley
• SLAM using stereo vision
• Human cue detection
• Manipulation
• Future work
Goal: How do I get to…?
Photo from http://lib.store.yahoo.net/lib/umallvt/umall-directory-2006-05-26.gif
Wheeley: Hardware• Wheelesley v2• Vector Mobility
prototype chassis• Differential drive• RobotEQ AX2850
motor controller• Custom PC• Sensor platform• Vision system
Wheeley: Robot Arm
• Exact Dynamic’s Manus Assistive Robotic Manipulator (ARM)– 6+2 DoF– Joint encoders, slip
couplings– 14.3 kg– 80 cm reach– 20 N clamping force– 1.5 kg payload capacity– Keypad, joystick, single
switch input devices– Programmable
Image by Exact Dynamics
Wheeley: Vision System• Manipulation
– Shoulder camera• Canon VC-C50i• Pan-Tilt-Zoom
– Gripper camera• PC229XP Snake
Camera• 0.25 in x 0.25 in x
0.75 in
Wheeley: Vision System• Navigation
– Videre Design’s STH-V1
– 19 cm x 3.2 cm– 69 mm baseline– 6.5 mm focal length– 60 degrees FoV
SLAM using Stereo Vision • Why use vision
instead of traditional ranging devices?– Accuracy– Cost– Detail
Vision and Mapping Libraries • Phission
– http://phission.org
• Videre Design’s Small Vision System (SVS)
• Simple Mapping Utility (pmap)– Laser stabilized
odometry– Particle-based
mapping– Relaxation over local
constraints– Occupancy grid
mapping
SLAM Data Flow
Results
Human Cue Detection• Swarthmore Vision
Module (SVM)– Basic text detector
and optical character recognition
Manipulation: Visual Control
Manipulation: Experiments• Able bodied, August 2006
– Confirmed: With greater levels of autonomy, less user input is necessary for control
– Confirmed: Faster to move to the target in computer
– Unconfirmed: Preference of visual interface
• Target audience, Summer 2007– Access methods– Cognitive ability– Recreation of previous experiment
Future Work• Additional Wheeley
modifications:– PC for mapping– Mount touch screen
LCD– New Videre Stereo
Head– Mount robotic arm
• Integrate Wheelesley navigation
Acknowledgements• Research supported by NSF grants IIS-0546309,
IIS-0534364, and IIS-0415224• Collaborators:
– David Kontak at Crotched Mountain Rehabilitation Center– GertWillem Romer at Exact Dynamics– Aman Behal at the University of Central Florida
Questions?
http://www.cs.uml.edu/robots