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Explore the advanced robotic butler project by Intel & Carnegie Mellon University. Ideal for helping the elderly/disabled with tasks like cleaning, laundry, and more. Overcoming challenges with efficient navigation, object recognition, and trajectory planning in dynamic environments. Learn about the system architecture's principles and object recognition techniques using SIFT and Flea-Dragonfly method. Discover the Checkerboard Localization and Generalized Approach to Tracking Movable Objects. Witness the robot's capabilities in action through videos showcasing object manipulation.
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HERB 1.0 : Home Exploring Robotic Butler Intel & Carnegie Mellon University Presented by Tim Haines
Ideal Uses for Assistive Agent • Assist elderly or disabled • Doing jobs currently done by service animals • Cleaning • Washing Dishes • Laundry • Ironing • Moving heavy objects
Challenges to Operate in a Human Environment • Efficient navigation and mapping • Robust object recognition and pose estimating • Sophisticated trajectory planning • All done in unstructured constantly changing environment
Principles of System Architecture • Unlimited computational power is available • This is achieve by using on board and off board computing • Sensing and planning algorithms should require minimal human input • Allows for the robot to adapt to new environments
Object recognition using sift • Flea- Locating objects • Narrow View, Large depth of field • Dragonfly-Manipulate objects • Wide View, small depth of field
Checkerboard Localization • Found to be better than using the laser • Down side • Slow, taking 10 to 30 sec • Needs at least 3 checkerboards in 1 image • Tried children's drawings, Failed
Navigating using GATMO • Generalized Approach to Tracking Movable Objects • Two part maps • Static • Lists of objects
PlanningOpening doors • Planning based on Kinematics, no physics • Often Herbs fingers would jam into the door causing a stall
PlanningManipulating objects • WGR-Workspace Goal Regions • Videos: • http://www.youtube.com/watch?v=NsTdFF19fQQ • http://www.youtube.com/watch?v=PEg9ay-Wy-M&feature=related