Robotic Cell

Robotic cells, composed of numerous interconnected modules, are being developed to create adaptable and robust robots capable of complex tasks. Current research focuses on decentralized control strategies inspired by biological systems, employing methods like morphogen-based self-organization and hyperbolic embeddings for efficient design optimization. These advancements aim to improve robot control, resilience to failures, and the efficiency of design processes, with applications ranging from collaborative online learning tools to high-precision industrial assembly. The field is also exploring the integration of robotic cells into dynamic environments, such as mobile platforms, requiring robust human-robot interaction and position estimation systems.