FOCUS

1.

Artificial Intelligence

MetaNextLab is committed to advancing artificial intelligence through cutting-edge algorithm development and interdisciplinary applications. Our AI research spans deep learning, reinforcement learning, graph neural networks, and self-supervised learning, with a focus on scalability, interpretability, and real-world deployment. We integrate AI with domains like materials science and healthcare, creating predictive models, intelligent diagnostic tools, and automated decision-making systems. With robust infrastructure for data preprocessing, feature engineering, and model optimization, our AI team drives the development of reliable, high-performance intelligent solutions. Trustworthy AI is at the core of our philosophy, enabling sustainable and transparent intelligent ecosystems.

2.

Robotics

Robotics at MetaNextLab emphasizes intelligent control, adaptive motion, and human-robot collaboration. Our research focuses on sensing, planning, and actuation—forming a comprehensive pipeline for advanced robotic systems. We explore magnetic-driven soft robots, micro-scale medical robots, and AI-empowered collaborative robots. From mechanical design to control algorithms, we merge hardware innovation with AI software integration, enabling robots to operate autonomously in complex and dynamic environments. Our vision is to develop robots that not only move but think—machines capable of interacting naturally and efficiently with human partners.

3.

Network Technologies

MetaNextLab's network technologies focus on building the infrastructure for an intelligent, interconnected world. Our work spans IoT systems, edge computing, next-generation wireless communication (5G/6G), cybersecurity, and distributed architectures. We aim to develop low-power communication protocols, resilient mesh networks, and AI-integrated edge devices. By combining network science with machine learning, we’re creating intelligent networks that adapt, self-optimize, and secure themselves in real time. Our efforts ensure that the future of smart connectivity is fast, robust, and trustworthy, enabling reliable data flow across diverse intelligent systems.