The Neuromorphic Computing Group develops advanced neural-network based algorithms, software libraries, and systems with the new generation of computing chips – brain-inspired neuromorphic sensing and computing hardware. We focus on perception, motion planning, and control for robotic actuators with applications in life sciences: healthcare, agriculture, food processing, and smart environments. We follow a human-centered design approach to develop new generation of physical AI systems that are power-efficient, adaptive, and safe.

• Neuromorphic computing hardware and algorithms
• Event-based vision
• Robotics: Motion planning, control, SLAM
• Efficient machine learning and AI
• Dynamical systems, cognitive architectures

• Assistive robotics in healthcare, agriculture, food processing, smart environments  
• Machine vision in healthcare, agriculture, food processing, smart environments 
• Continual learning and adaptive systems
• Robot safety, human-robot interaction