NEURA MAiRA
Neura MAiRA is one of the world’s most advanced collaborative robots (cobots), purpose-built for seamless and safe human-robot collaboration. Developed by NEURA Robotics, MAiRA sets new standards in flexibility, intelligence, and adaptability in industrial and research settings.
Since July 2025, our Chair for Neuro-Robotics at TU Chemnitz has been proud to host a Neura MAiRA robot in our laboratory. This platform opens up new opportunities for innovative research and practical teaching. MAiRA is currently being utilized within the framework of the research project CORINNE, but it is also available to support a wide range of research activities and teaching purposes in our department.
Featuring 7 degrees of freedom, a highly integrated AI-powered control system, and comprehensive sensor technology, MAiRA can perceive, interpret, and respond to its environment in real time. Its state-of-the-art sensor suite includes force/torque sensors in every joint, high-resolution cameras, microphones, and advanced tactile sensors, enabling it to sense contact, recognize gestures, and even interpret voice commands.
Designed for direct collaboration with humans, MAiRA’s unique sensor fusion approach allows it to operate safely in shared workspaces—no protective fencing required. It is fully ROS compatible, supports intuitive programming through gesture and voice control, and comes equipped with an “AI-Ready” package for plug-and-play integration into complex automation tasks.
Whether in industry, healthcare, or research, Neura MAiRA excels in precision assembly, assistive robotics, pick-and-place, learning from demonstration, and much more. Its modular hardware and software enable quick customization for a variety of applications, making it a pioneering solution for next-generation robotics.
Active Projects
CORINNE
CORINNE is an innovative research project focusing on gesture recognition using neuromorphic hardware with the Neura MAiRA platform. The project integrates a Dynamic Vision Sensor (DVS camera) and an Intel Loihi 2 neuromorphic processor to enable real-time, efficient, and adaptive gesture recognition. The core approach leverages continual learning prototypes, allowing MAiRA to acquire and refine new gestures during normal operation without forgetting previously learned abilities.
CORINNE also explores federating these prototypes for knowledge aggregation into a global model, enabling transfer of learned skills between multiple robots. This way, improvements made by one robot can benefit others, accelerating the development of robust, generalizable gesture recognition in collaborative robotics.