Advanced architecture and robotic capabilities for flexible industrial automation

KIDEBOT tackles the challenge of scaling up advanced robotics in the Basque manufacturing industry in the face of a shortage of skilled personnel and the inflexibility of conventional robotics. The project investigates architectures based on multimodal perception, hybrid skill learning and agents using LLM/LVLM

The Kidebot project aims to research and validate new advanced robotic capabilities that enable robotic systems to operate with greater autonomy in industrial environments characterised by high variability; it will address this challenge through new approaches to multimodal environmental perception, motor skill learning and robotic reasoning for the generation of adaptive behaviours.