Synergistic Human-Robot Collaboration in Extreme Environments: Simulation to Experimental Validation

Purpose and goal

The project aims to improve underwater operations by integrating autonomous underwater vehicles (AUVs) with divers to enhance safety and efficiency in extreme environments. Utilizing AI technologies such as real-time decisions, machine learning, computer vision, and reinforcement learning, the AUVs will support divers in defense, rescue, and law enforcement. Led by KTH and in collaboration with FMV and Saab, robust AUV prototypes will be developed and validated through simulations and field tests, setting new standards for human-robot interaction in underwater missions.

Expected effects and result

The project is expected to improve underwater operations through the collaboration of AUVs and divers, enhancing safety and efficiency in extreme environments. The technology progresses from initial concepts (TRL 2-3) to lab validation (TRL 4-6) and operational prototypes (TRL 7-9). Commercial development is expected within 5 years. The project develops Swedish AI expertise and innovative, adaptive systems for real-time decision-making and human-robot interaction, strengthening Sweden´s digital capabilities.

Planned approach and implementation

The project is structured into several work packages focusing on different aspects of AUV technology. WP1 develops AI models and machine learning algorithms, WP2 integrates and tests AI systems in AUV prototypes, WP3 designs user interfaces for divers, WP4 conducts field tests to validate the safety and efficiency of AUVs, and WP5 analyzes the market and commercialization strategies. The project ensures quality through regular testing and involvement of end-users to refine the system design.