Real-time Self-localization using Model-based Matching for Autonomous Robot of RoboCup MSL
- 10.2991/jrnal.k.200528.005How to use a DOI?
- Self-localization; RoboCup middle size league; soccer robot; genetic algorithm
This paper presents a self-localization technique using an omni-directional camera for an autonomous soccer robot. The position information of the robot is important for strategic behavior and cooperative operation. Therefore, we have proposed the self-localization method which generates the searching space based on a model-based matching with white line information of soccer field, and which recognizes the robot position by optimizing the fitness function using genetic algorithm.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Kaori Watanabe AU - Yuehang Ma AU - Hidekazu Suzuki PY - 2020 DA - 2020/06/02 TI - Real-time Self-localization using Model-based Matching for Autonomous Robot of RoboCup MSL JO - Journal of Robotics, Networking and Artificial Life SP - 98 EP - 102 VL - 7 IS - 2 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.200528.005 DO - 10.2991/jrnal.k.200528.005 ID - Watanabe2020 ER -