Team Delft finalist in the Amazon Picking Challenge 2016
We, Team Delft, are proud
to be one of the 16 finalist teams for the Amazon Picking Challenge 2016 [video]. The challenge has two competitions: one for picking products from an Amazon Kiva shelf to fill in a tote, and the other one consisting of the reverse task of picking products from a tote to stow them in a shelf.
These tasks are representative of the current
challenges that warehouse automation faces nowadays. The unstructured
environment and the diversity of products require new robotic solutions. Smart
mechanical designs and advanced artificial intelligence techniques need to be
combined to address the challenges in object recognition, grasping, dexterous manipulation, and motion
planning. The goal of Amazon Picking challenge is to promote innovative and
open solutions for automation in unstructured warehouse environments. It aims
at fostering research and collaboration between industry and academia.
Our team is formed by robotics researchers from the TU Delft Robotics
Institute, and robotic engineers from the startup Delft Robotics. We are really excited about the challenge, to
demonstrate how robotic technologies can solve the present automation
challenges in industry.
Team Delft |
Team Delft is supported by the Factory-in-a-day EU project who is fostering
flexible and smart robotic solutions for manufacturing and RoboValley, a unique
network consisting of researchers, industry and government agencies who are
working on the next generation robotics.
The new flexible and
reusable robotic solutions that we are developing will reduce costs, improve
quality and increase productivity. Robotic technologies will also shift human
labor from dull and physically demanding tasks to more creative activities,
creating new jobs around robots as they were created before around computers or
mobile phones. The Amazon Picking
Challenge will be held in conjunction with RoboCup 2016 in Leipzig, Germany
from June 30 to July 3, 2016.
Follow us at: @teamdelft_apc
For more information about the Amazon Picking Challenge, please visit http://amazonpickingchallenge.org/
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