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Team KTH’s Picking Solution for the Amazon Picking Challenge 2016
KTH, Skolan för datavetenskap och kommunikation (CSC), Robotik, perception och lärande, RPL. KTH.ORCID-id: 0000-0003-3252-715X
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Robotik, perception och lärande, RPL.ORCID-id: 0000-0002-6716-1111
KTH.
Vise andre og tillknytning
2017 (engelsk)Inngår i: Warehouse Picking Automation Workshop 2017: Solutions, Experience, Learnings and Outlook of the Amazon Robotics Challenge, 2017Konferansepaper, Oral presentation only (Annet (populærvitenskap, debatt, mm))
Abstract [en]

In this work we summarize the solution developed by Team KTH for the Amazon Picking Challenge 2016 in Leipzig, Germany. The competition simulated a warehouse automation scenario and it was divided in two tasks: a picking task where a robot picks items from a shelf and places them in a tote and a stowing task which is the inverse task where the robot picks items from a tote and places them in a shelf. We describe our approach to the problem starting from a high level overview of our system and later delving into details of our perception pipeline and our strategy for manipulation and grasping. The solution was implemented using a Baxter robot equipped with additional sensors.

sted, utgiver, år, opplag, sider
2017.
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Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:kth:diva-215327OAI: oai:DiVA.org:kth-215327DiVA, id: diva2:1147692
Konferanse
ICRA 2017
Merknad

QC 20171009

Tilgjengelig fra: 2017-10-07 Laget: 2017-10-07 Sist oppdatert: 2018-05-24bibliografisk kontrollert

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