6533b826fe1ef96bd1283a66

RESEARCH PRODUCT

UJI RobInLab's approach to the Amazon Robotics Challenge 2017

A. ArenalNataliya NechyporenkoGustavo A. CasañArijit MallickEnric CerveraI. VasilevDipendra SubediAngel J. DuranCarlos RubertM.a. AriasA.p. Del PobilEster Martinez-martinAntonio MoralesG. RecatalaD. CardinEmanuele SansebastianoMajd KassawatB. Goriatcheff

subject

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 engineeringbusiness

description

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 experimental results.

yearjournalcountryeditionlanguage
2017-11-012017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
https://doi.org/10.1109/mfi.2017.8170448