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Titlebook: RoboCup 2021: Robot World Cup XXIV; Rachid Alami,Joydeep Biswas,Oliver Obst Conference proceedings 2022 Springer Nature Switzerland AG 202

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楼主: 乳钵
发表于 2025-3-30 10:03:33 | 显示全部楼层
Ball Path Prediction for Humanoid Robots: Combination of k-NN Regression and Autoregression Methodsighbor regression method is first proposed to account for the part of the prediction which is based on previously observed data. Next, the autoregression method is utilized in order to carry out the prediction based on the current ball path. Finally, these two methods are combined to form the final
发表于 2025-3-30 15:11:46 | 显示全部楼层
Enabling Modern Application Development with Swift on the Nao/Pepper Robotsnd the RoboCup@Home - Social Standard Platform. We show that . is not only incorporating modern features of object-oriented programming and functional programming, but is also now a stable systems programming language that enables both high-level development as well as fine hardware control. Determi
发表于 2025-3-30 19:03:11 | 显示全部楼层
Step Adjustment for a Robust Humanoid Walk to tune several control parameters, which consumes a lot of time and wears down the hardware even more. In this paper, we present the latest improvements of our current walk, which enable a significant boost in the walking speed and stability, basically independent of the robot’s hardware state. Ba
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Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSLme leagues already have more than one dataset to train and evaluate a model. However, in the Small Size League (SSL), there is not such dataset available yet. This paper presents an open-source dataset to be used as a benchmark for real-time object detection in SSL. This work also presented a pipeli
发表于 2025-3-31 08:00:14 | 显示全部楼层
TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021omposed of a collection of images taken in various real-world locations as well as a collection of simulated images. It enables comparing vision approaches with a meaningful and expressive metric. The contributions of this paper consist of providing a comprehensive and annotated dataset, an overview
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