Warehouse Picking Automation Workshop 2017: Solutions, Experience, Learnings and Outlook of the Amazon Picking Challenge

Albert Causo1, Joey Durham2, Kei Okada3, Kris Hauser, Alberto Rodriguez4

  • 1Nanyang Technological University / Transforma
  • 2Amazon Robotics
  • 3The University of Tokyo
  • 4Massachusetts Institute of Technology

Details

Category

Full-Day Workshop

Sessions

08:30 - 17:00 | Mon 29 May | Room 4511/4512 | MoW5

Warehouse Picking Automation Workshop 2017: Solutions, Experience, Learnings and Outlook of the Amazon Picking Challenge

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Abstract

The launch of the Amazon Picking Challenge (APC) in 2015 has shone light on the challenging problem of item picking in an e-commerce fullfilment warehouse. We have seen a lot of developments on all aspects of the picking problem since then. The challenges of automated item picking is a quintessential robot problem that encompass various aspects of grasping, vision and other forms of sensing, gripper and robot design, motion planning, optimization, machine learning, software engineering, and system integration, among others. The main aim of this workshop is to gather past and future participants of APC and the robotics and automation community to discuss their robotic solutions, experience of the previous competitions and their vision on automating item picking for warehouse logistics. Attendees of the workshop would have the opportunity to see the state-of-the-art in item picking research and development and interact with the people who are passionate about solving this complex problem during the presentations, poster discussions and open forums. This workshop is co-organized by Amazon Robotics, the organizer of the Amazon Picking Challenge.

URL: http://wpaw17.kawso.com

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