Abstract
Palletizing, or packing rectangular boxes of various
sizes onto pallets, is a frequently encountered task
in many commercial scenarios, e.g., shipment of
goods. An extension of this problem is the automated
placement of boxes on pallets, henceforth task
completion, by means of industrial robot arms. The
palletizing and task completion problems are treated
in the context of the IEEE ICRA 2012 Virtual
Manufacturing Automation Competition. We approach
the palletizing challenge by a winner-takes-all
strategy, where multiple heuristics are evaluated
against the given datasets. Our results show a
performance comparable to that of the commercial
software benchmark from the previous
competitions. We solve task completion in USARSim by
picking boxes and placing them on a pallet. Our
inverse kinematics algorithm consists of a geometric
and numeric component.
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