![[PROJECT TITLE]](../res/img/colab-720.webp)
The transition to Industry 5.0 demands product development that balances technological automation with human-centric collaboration and environmental responsibility. This methodology introduces an Agentic AI within a unified virtual environment. It bridges the gap between digital design automation and human-centered innovation by coordinating real-time optimization, risk assessment, and lifecycle tracking.
Utilizes specialized autonomous agents to coordinate domain-specific decision-making concurrently over measurable physical variables, performance targets, and safety limits, reducing sequential dependencies.
Facilitates real-time interaction using immersive virtual environments and Large Language Models, allowing human designers to validate, guide, and refine agent responses dynamically.
Detailed capabilities and technical specifications developed for this mission.
Manages virtual sensors like LiDAR and IMU while evaluating visual realism using Fréchet Inception Distance (FID) to ensure perception accuracy and simulation fidelity.
Applies metaheuristic methods to autonomously optimize structural geometry, mechanical equilibrium, and energy efficiency.
Evaluates lifecycle indicators continuously achieving measurable reductions in total mass and operational energy while improving the recyclability index.
Enforces thermal, kinematic, and reliability constraints through automated safety assessments, identifying failure modes and mitigations to reduce failure occurrence.
Maps the engineering lifecycle and R10 circular economy strategies, ensuring continuous traceability and accountability from concept design to disposal.