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UNITY
The future of autonomous vehicle control


ANU Capstone 2024
Common RAS Interface

A universal command and control interface for autonomous vehicles

The future of disaster relief lies in the collaborative use of autonomous vehicles. We are breaking down the barriers created by individual, proprietary control systems, developing a unified command and control interface for drones, ground robots, and other autonomous systems. This innovation enables emergency responders to seamlessly manage multiple vehicles during critical disaster relief operations, such as search and rescue or damage assessment. With a focus on scalability, security, low latency, and rock-solid reliability, we are revolutionising how technology supports first responders, ensuring they have the tools needed to act swiftly and effectively in life-saving missions

Our Story

Drones, robots, and other autonomous vehicles are often used in disaster relief operations, but proprietary control systems prevent them from easily collaborating. This fragmentation hinders the ability of first responders to deploy these tools effectively, leading to inefficiencies during critical moments. By eliminating these barriers, we aim to unlock the full potential of autonomous systems, enabling seamless coordination during emergency situations like search and rescue, supply delivery, and damage assessment.

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A unified command and control interface, enables seamless integration and cooperation among diverse autonomous systems, addressing this fragmentation problem.

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This project has been developed in collaboration with industry stakeholders.

Meet The Team

Background

Our project aims to revolutionise how search and rescue teams interact with robotic and autonomous systems (RAS) in disaster response scenarios. Inspired by the challenges faced by first responders, our solution addresses the need for a unified, user-friendly interface to control multiple RAS types. Responders often face high-stress situations where they must manage various unmanned systems, including drones and ground robots, to perform critical tasks such as locating missing persons, delivering supplies, and assessing hazardous areas. However, the lack of standardisation and the complexity of current systems often delay response times.

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Our system is designed to streamline operations by offering a seamless platform that integrates with different RAS models, requires minimal training, and provides real-time situational awareness. With features like easy handover between team members and fail-safe protocols, our solution ensures that rescue teams can focus on what matters most – saving lives.

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