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Computer Science > Robotics

arXiv:1904.10066 (cs)
[Submitted on 22 Apr 2019]

Title:Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)

Authors:Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani
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Abstract:We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts. This paper is about the lessons learnt from that competition and further developments for the RoboCup 2019 competition. Firstly, we briefly introduce the team along with an overview of past achievements. We then present a simple, standalone 2D simulator we use for simplifying the entry for new members with making basic RoboCup concepts quickly accessible. We describe our approach for semantic-segmentation for our vision used in the 2018 competition, which replaced the lookup-table (LUT) implementation we had before. We also discuss the extra structural support we plan to add to the printed parts of the BoldBot and our transition to ROS 2 as our new middleware. Lastly, we will present a collection of open-source contributions of our team.
Comments: Technical report
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Software Engineering (cs.SE)
Cite as: arXiv:1904.10066 [cs.RO]
  (or arXiv:1904.10066v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.1904.10066

Submission history

From: Marcus Scheunemann [view email]
[v1] Mon, 22 Apr 2019 21:10:25 UTC (3,516 KB)
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Marcus M. Scheunemann
Sander G. van Dijk
Rebecca Miko
Daniel Barry
George M. Evans
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