Abstract: Harnessing the full potential of capsule robots requires highly precise and reliable pose estimation. This paper presents a dynamic bounding box optimization strategy based on Gaussian ...

Abstract: Harnessing the full potential of capsule robots requires highly precise and reliable pose estimation. This article presents a dynamic bounding box optimization strategy based on Gaussian ...

This project demonstrates a real-time distributed graph data processing system using Apache Kafka, Kafka Connect, Neo4j, Docker, and Kubernetes. The system ingests New York City taxi trip events and ...

A. Rosinol, M. Abate, Y. Chang, L. Carlone, Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping. IEEE Intl. Conf. on Robotics and ...

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Optimization methods are the engine of machine learning algorithms. Examples abound, such as training neural networks with stochastic gradient descent, segmenting images with submodular optimization, ...

AegisBridge (AGB TOKEN) completed a phase-based platform architecture optimization, strengthening system stability and operational consistency. LONDON, UNITED KINGDOM ...