Monte Carlo Localization with Field Lines Observations for Simulated Humanoid Robotic Soccer

Author:

Muzio Alexandre,Aguiar Luis,Maximo Marcos R.O.A.,Pinto Samuel C.

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Orienting a Humanoid Robot in a Soccer Field Based on the Background;Lecture Notes in Computer Science;2024

2. Enhancing AdultSize Humanoid Localization Accuracy: A Vision-based aMCL Leveraging Object Detection Model and Hungarian Algorithm;2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids);2023-12-12

3. Dataset and Baseline Experiments for Self-Localization and Tracking in the RoboCup Small Size League;2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE);2023-10-09

4. Learning Push Recovery Behaviors for Humanoid Walking Using Deep Reinforcement Learning;Journal of Intelligent & Robotic Systems;2022-08-20

5. Two-Steps Approach of Localization in Humanoid Robot Soccer Competition;Lecture Notes in Electrical Engineering;2021-07-16

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