@inproceedings{cb73964dedd8473ba314db2f0746a6cd,
title = "Team Delft{\textquoteright}s robot winner of the Amazon Picking Challenge 2016",
abstract = "This paper describes Team Delft{\textquoteright}s robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions. The goal of the challenge is to automate pick and place operations in unstructured environments, specifically the shelves in an Amazon warehouse. Team Delft{\textquoteright}s robot is based on an industrial robot arm, 3D cameras and a customized gripper. The robot{\textquoteright}s software uses ROS to integrate off-the-shelf components and modules developed specifically for the competition, implementing Deep Learning and other AI techniques for object recognition and pose estimation, grasp planning and motion planning. This paper describes the main components in the system, and discusses its performance and results at the Amazon Picking Challenge 2016 finals.",
keywords = "Deep learning, Grasping, Motion planning, Robotic system, Warehouse automation",
author = "{Hernandez Corbato}, C. and Mukunda Bharatheesha and Wilson Ko and Hans Gaiser and Jethro Tan and {van Deurzen}, Kanter and {de Vries}, Maarten and {Van Mil}, Bas and {van Egmond}, Jeff and Ruben Burger and Mihai Morariu and Jihong Ju and X. Gerrmann and Ronald Ensing and {Van Frankenhuyzen}, Jan and Martijn Wisse",
note = "Champion Paper; RoboCup 2016: 20th Annual RoboCup International Symposium ; Conference date: 30-06-2016 Through 04-07-2016",
year = "2017",
doi = "10.1007/978-3-319-68792-6_51",
language = "English",
isbn = "9783319687919",
series = "Lecture Notes in Computer Science (Subserie Lecture Notes in Artificial Intelligence)",
publisher = "Springer",
pages = "613--624",
editor = "S Behnke and R Sheh and S Sariel and Lee, {DD }",
booktitle = "RoboCup 2016: Robot World Cup XX",
}