Warehouse Picking Automation Workshop 2017.
Solutions, Experience, Learnings and Outlook of the Amazon Robotics Challenge
29 May 2017, Monday
Endorsed and supported by IEEE Robotics & Automation Society (IEEE-RAS) Technical Committee on Mobile Manipulation (TCMM)
Level 4, Rm. 4511/4512,
Marina Bay Sands Convention Centre, Singapore
The launch of the Amazon Robotics Challenge or ARC (formerly the Amazon Picking Challenge) 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 ARC 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 will 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 sponsor of the Amazon Robotics Challenge.
Research Fellow, Robotics Research Centre
Nanyang Technological University, Singapore
Manager, Research & Advance Development
Associate Professor, JSK Laboratory
The University Of Tokyo
Associate Professor, Department of Electrical and Computer Engineering
Assistant Professor, Department of Mechanical Engineering
Massachusetts Institute of Technology