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Key Accomplishments:
Dynamic Digital Twins Delivered
A digital twin of the New Jersey Hoboken Terminal is now capable of monitoring crowd movements in real time across multiple cameras, providing valuable data to analyze crowd behavior. Additionally, it can simulate various threats, including flooding events and malicious attacks, which significantly broadens the range of scenarios that can be evaluated within a digital twin environment. This enables the real-time monitoring and simulation of crowd management during various scenarios, including the prediction of hot spots based on crowd size and train schedules. This functionality has led New Jersey Transit to request the development of a digital twin for Newark Penn Station, supporting its renovation ahead of the 2026 World Cup.
Real-time 3D Mapping using AI and a Robot Dog
A large language model has been integrated into a robot dog platform to facilitate multi-modal interaction between the human operator, the digital twin, and robotic systems. The system is designed to accelerate digital twin development and includes a security feature localization system that can be used to rapidly characterize the spatial structure of crowded places, as well as update the dynamic contents (such as temporary objects) in the digital twin environment.
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