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A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges

Authors :
Teetaert, Spencer
Zhao, Wenda
Xinyuan, Niu
Zahir, Hashir
Leong, Huiyu
Hidalgo, Michel
Puga, Gerardo
Lorente, Tomas
Espinosa, Nahuel
Carrasco, John Alejandro Duarte
Zhang, Kaizheng
Di, Jian
Jin, Tao
Li, Xiaohan
Zhou, Yijia
Liang, Xiuhua
Zhang, Chenxu
Loquercio, Antonio
Zhou, Siqi
Brunke, Lukas
Greeff, Melissa
Hoenig, Wolfgang
Panerati, Jacopo
Schoellig, Angela P.
Publication Year :
2023

Abstract

Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportunity to researchers with different origins, backgrounds, and levels of seniority to quantitatively compare their ideas. In robotics, a hot and challenging topic is sim2real-porting approaches that work well in simulation to real robot hardware. In our case, creating a hybrid competition with both simulation and real robot components was also dictated by the uncertainties around travel and logistics in the post-COVID-19 world. Hence, this article motivates and describes an aerial sim2real robot competition that ran during the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, from the specification of the competition task, to the details of the software infrastructure supporting simulation and real-life experiments, to the approaches of the top-placed teams and the lessons learned by participants and organizers.<br />Comment: 13 pages, 16 figures, 4 tables

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2308.16743
Document Type :
Working Paper