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by btbuildem
547 days ago
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The suction "cup" seems to be doing a good job, but I don't think bags are made to be handled that way. Did you alternate test with some kind of a grabber (like the claw machine, but actually effective)? It would make the grasp selection problem much more tractable imo, since all bags have at least one "grasp point" built in. In teleoperated mode, I'm guessing you're using the captured data to train the autonomous mode? Final note, the robot looks beefy enough to lift an entire airplane, forget luggage -- is it overengineered on purpose? |
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The teleop data is really useful for training data indeed, and lets us collect data on current failure points (e.g. with suction, just how far can we tilt this fabric bag before it peels away, etc). We're not going full behavior-cloned end-to-end for a lot of reasons (sample complexity, safety, adaptability, etc), but we do a lot of learning in specific parts of the system (particularly around grasping and placement).
The robot is indeed beefy, as many robots rated for 50kg applications are (check them out online). We've accidentally stress tested this unit way beyond 50kg without a hiccup, so we're very interested in figuring out what the right-size unit is for our application. There are a few other great aspects to this unit - it's a 7-DOF arm + 1 more DOF for the linear rail, so we have two extra degrees of freedom to play with for collision avoidance during planning.