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High-Level Planning for Robotic Pallet Building

DATE: January 16th
TIME: 15:30-16:30
PLACE: MS Teams meeting
SPEAKER: Jacopo Banfi (Dexterity, Inc.)
HOST: Nicola Basilico


Recent advances in artificial intelligence and robotics have started to rapidly revolutionize the supply chain, which plunged into a global crisis also caused by an unprecedented labor shortage following the outbreak of the Covid-19 pandemic. In this talk, I will describe the AI that powers Dexterity's solution to the problem of robotic pallet building. In particular, I will introduce the 3-D Bin Packing problem as an idealized version of the robotic pallet building problem, and then present the unique challenges in solving it that are posed by operating in a real-world industrial setting. I will then talk about different AI techniques that can be used to make such a complex problem tractable, which ultimately allow Dexterity's robots to build tall, dense, and stable mixed-case pallets with minimal human supervision.

NOTES: The seminar is organized within the course of "Intelligenza Artificiale I" (F1X). The presentation will be held in Italian.

PLACE: MS Teams meeting:
Meeting ID: 367 946 043 006
Passcode: QoQeh6

SPEAKER: Jacopo Banfi (Dexterity, Inc.)

HOST: Nicola Basilico


Jacopo Banfi is a Robotics Engineer at Dexterity, Inc. (https://www.dexterity.ai/) Jacopo received his M.Sc. in Computer Science & Engineering and Ph.D. in Information Technology from the Polytechnic of Milan in 2014 and 2018, respectively. His Ph.D. thesis about multi-robot coordination under communication constraints was awarded the annual title of "best Italian Ph.D. thesis in Artificial Intelligence" from the Italian Association for Artificial Intelligence. Between 2018 and early 2022, he worked as a postdoctoral researcher at the University of Milan, Cornell University, and MIT on different robotics projects funded by the European Union, NASA, the U.S. Office of Naval Research, and the U.S. Army Research Laboratory. In April 2022 he joined Dexterity, a robotics startup based in the Bay Area that builds innovative solutions to classical warehouse problems, where he currently works as a Robotics Engineer on different projects.

10 gennaio 2023
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