Electric Sheep Team Description Paper Humanoid League Kid-Size 2019
Daniel Barry, Andrew Curtis-Black, Merel Keijsers, Munir Shah, Matthew, Young, Humayun Khan, Banon Hopman

TL;DR
This paper introduces the Electric Sheep humanoid robot team, detailing their low-cost robot platform, software framework, and strategies, aiming to contribute to RoboCup's Kid-Size league.
Contribution
The paper presents a new low-cost humanoid robot platform and a comprehensive software framework for vision, walking, and gameplay in RoboCup Kid-Size league.
Findings
Development of a low-cost humanoid robot platform
Implementation of vision processing and walking algorithms
Strategic approach to gameplay and future research directions
Abstract
In this paper we introduce the newly formed New Zealand based RoboCup Humanoid Kid-Size team, Electric Sheep. We describe our developed humanoid robot platform, particularly our unique take on the chassis, electronics and use of several motor types to create a low-cost entry platform. To support this hardware, we discuss our software framework, vision processing, walking and game-play strategy methodology. Lastly we give an overview of future research interests within the team and intentions of future contributions for the league and the goal of RoboCup.
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Taxonomy
TopicsRobotic Locomotion and Control · Reinforcement Learning in Robotics · Modular Robots and Swarm Intelligence
