0000000000593942

AUTHOR

G. Recatala

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UJI RobInLab's approach to the Amazon Robotics Challenge 2017

2017

This paper describes the approach taken by the team from the Robotic Intelligence Laboratory at Jaume I University to the Amazon Robotics Challenge 2017. The goal of the challenge is to automate pick and place operations in unstructured environments, specifically the shelves in an Amazon warehouse. RobInLab's approach is based on a Baxter Research robot and a customized storage system. The system's modular architecture, based on ROS, allows communication between two computers, two Arduinos and the Baxter. It integrates 9 hardware components along with 10 different algorithms to accomplish the pick and stow tasks. We describe the main components and pipelines of the system, along with some e…

0209 industrial biotechnologyAmazon rainforestbusiness.industryComputer science010401 analytical chemistryCognitive neuroscience of visual object recognitionRobotics02 engineering and technologyModular architecture01 natural sciences0104 chemical sciences020901 industrial engineering & automationGrippersComputer data storageSMT placement equipmentRobotArtificial intelligenceSoftware engineeringbusiness2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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