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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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樓主: 乳缽
51#
發(fā)表于 2025-3-30 10:03:33 | 只看該作者
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
52#
發(fā)表于 2025-3-30 15:11:46 | 只看該作者
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
53#
發(fā)表于 2025-3-30 19:03:11 | 只看該作者
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
54#
發(fā)表于 2025-3-30 23:54:01 | 只看該作者
55#
發(fā)表于 2025-3-31 01:28:45 | 只看該作者
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
56#
發(fā)表于 2025-3-31 08:00:14 | 只看該作者
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
57#
發(fā)表于 2025-3-31 09:24:10 | 只看該作者
58#
發(fā)表于 2025-3-31 15:49:21 | 只看該作者
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