Vostok: 3D scanner simulation for industrial robot environments

Authors

  • Alessandro Rossi University of Padua http://orcid.org/0000-0001-5832-0101
  • Marco Barbiero University of Padua http://orcid.org/0000-0001-5161-8351
  • Ruggero Carli University of Padua

Abstract

Computer vision will drive the next wave of robot applications. Latest three-dimensional scanners provide increasingly realistic object reconstructions. We introduce an innovative simulator that allows interacting with those scanners within the operating environment, thus creating a powerful tool for developers, researchers and students. In particular, we present a novel approach for simulating structured-light and timeof-flight sensors. Qualitative results demonstrate the efficiency and reliability in industrial environments. By using the programmability of modern GPUs, it is now possible to make greater use of parallelized simulative approaches. Apart from the easy modification of sensor parameters, the main advantage in simulation is the opportunity of carrying out experiments under reproducible conditions, especially for dynamic scene setups. Moreover, thanks to a great computational power, it is possible to generate huge amounts of synthetic data which can be used as test datasets for training machine learning models.

Keywords

Structured-light, Time-of-Flight, Ray tracing, Robotics, Synthetic data, Computer vision,

Author Biographies

Alessandro Rossi, University of Padua http://orcid.org/0000-0001-5832-0101

Alessandro Rossi received his Bachelor of Science degree in Information Engineering technology in 2016 and his Master of Science degree in Automation Engineering in 2018. Now, he is a Ph.D. student in Information Communication Technology at the Department of Information Engineering of the University of Padua and, in the meantime, he works as a software engineer at Euclid Labs.

Marco Barbiero, University of Padua http://orcid.org/0000-0001-5161-8351

Marco Barbiero received his Bachelor of Science degree in Information Engineering technology in 2016 and his Master of Science degree in Automation Engineering in 2018. Now, he is a Ph.D. student in Information Communication Technology at the Department of Information Engineering of the University of Padua and, in the meantime, he works as a Data Integration Manager at EDILVI S.p.A.

Ruggero Carli, University of Padua

Ruggero Carli is an Associate Professor at the Department of Information Engineering of the University of Padua. He has been a Ph.D. student in Automatic Control and Operations Research at the Department of Information Engineering of the University of Padua. He has also been Post-Doc researcher at the Department of Mechanical Engineering of the University of California, Santa Barbara (USA), and at the Department of Information Engineering of the University of Padua.

Published

2020-11-03

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