Wearables

Technologies, Applications and Latest Developments. Humanoid robots combine artificial intelligence, advanced sensors, robotics and intelligent motion systems. They can perceive their environment, interact with people and perform a growing range of tasks in manufacturing, logistics, research, service and healthcare. Explore key technologies, leading companies, real-world applications and the latest developments in humanoid robotics and Physical AI.

Methods, Technologies and Applications. TinyML brings machine learning to compact, energy-efficient microcontrollers and embedded systems. This page features expert articles on Edge AI, embedded AI, neural networks, model optimisation, sensor analysis, low-power hardware and local data processing. The focus is on applications in IoT, industry, wearables, predictive maintenance, smart homes, robotics and intelligent sensor systems.

How Multiple Sensors Create a Reliable Understanding. Sensor fusion combines data from multiple sensors to capture conditions, movements and environments more accurately and reliably. This page features expert articles on multisensor systems, data fusion, IMUs, cameras, radar, LiDAR, positioning sensors, AI-based sensor data processing and real-time analysis. The focus is on applications in robotics, autonomous systems, industry, automotive, medical technology, wearables and Edge AI.

Intelligence Inside Devices, Sensors and Machines. Embedded AI brings artificial intelligence directly into devices, sensors and machines. Data is processed locally, patterns are detected in real time, and decisions can be made without a permanent cloud connection. This enables low latency, reduced data transmission and improved privacy. Embedded AI is used in smart sensors, cameras, robots, vehicles, wearables and industrial equipment. It is a key foundation for edge AI, physical AI and autonomous systems.