We focus on bioinspired and biohybrid systems that integrate living tissues, organoids, neural activity, and soft electronic interfaces with robotics to create adaptive, intelligent machines. Artificial intelligence supports this work by helping our systems interpret complex signals, adapt to dynamic environments, and coordinate across biological and robotic domains.
Research Focus:
- Biohybrid Robotics: Designing robots that combine living tissues, soft actuators, and cyborg-inspired interfaces for adaptive motion and control.
- Intelligent Sensing: Creating bioinspired, soft, and organic electronic sensors that extend perception into chemical, mechanical, and physiological domains beyond conventional devices.
- Cyborg Organoids & Organoids-on-a-Chip: Leveraging miniature living tissues as sensors, controllers, and adaptive modules within robotic platforms.
- Brain–Machine Interfaces (BMIs): Developing biohybrid and soft electronic neural interfaces to decode and modulate brain activity, enabling advanced prosthetics, intuitive control, and seamless human–robot interaction.
- Biofabrication & 3D Printing: Using biofabrication and additive manufacturing techniques to engineer living-robotic interfaces, complex tissue-robot hybrids, and customizable multimodal sensing platforms.
Research Group Leader
Antonia Georgopoulou
- Research Group Leader