Industrial Robot for Amazon Picking Challenge
NMMI can be exploited in applications like industrial scenarios. One example is the structure we present here.
It consists of a 3 DoF cartesian structure. On the last linear guidance, a 3 DoF arm composed by Qbmoves Maker Pro has been attached to accurately orientate the Pisa/IIT SoftHand used as end effector. This robot is able to recognize and grab objects of different shapes in a partially unstructured environment, as a warehouse.
Particularly this robot was designed to participate in the Amazon Picking Challenge. Thanks to the combination of the adaptivity of the hand and the compliant behavior on the arm, the robot is able to grab different objects being robust to uncertainties in the objects shape or in the scenario. In Fig. 12 some snapshots show a sequence of motions of the structure during the
operation.
Author(s):
Alessandro Raugi
Tommaso Pardi
Riccardo Persichini
Emanuele Luberto
Mattia Poggiani
Manuel G. Catalano
Giorgio Grioli
Manolo Garabini
Antonio Bicchi
Affiliation(s):
Istituto Italiano di Tecnologia
Email(s):
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