Completed Engineering Computing & AI

Thales-Bristol Partnership in Hybrid Autonomous Systems Engineering (T-B PHASE)

In plain English

AI plain-English summary

Self-driving cars, delivery drones, and robot carers will soon share our roads, airspace, and homes with human-operated counterparts, but no one yet knows how to guarantee they will work together safely. This five-year partnership between the University of Bristol and Thales tackles that gap. The core problem—called the R3 Challenge—is ensuring that hybrid autonomous systems, where people and machines interact in real time, are Robust, Resilient, and meet Regulatory demands. Current engineering methods cannot predict how such systems will behave when a human driver swerves, a drone loses signal, or a rail network faces a sudden shock. The project targets three real-world use cases: hybrid low-level flight (manned and unmanned aircraft in the same airspace), hybrid rail systems (automatic and driver-operated trains), and hybrid search and rescue (robots assisting human teams in disaster zones). By solving fundamental design problems within these concrete settings, the research aims to produce engineering principles that apply across all hybrid autonomous systems. If successful, the work could prevent gridlock from mixed traffic, avoid mid-air collisions between delivery drones and piloted aircraft, and make robot carers reliable enough to assist in people’s homes. These are systems that will quietly underpin daily life—or fail catastrophically if not designed correctly.

View original technical description
Hybrid autonomous systems are those where groups of people are in direct, ongoing interaction with groups of autonomous robots or autonomous software. One prominent current example involves rush-hour traffic made up of a mixture of cars driven by people and cars driven by smart algorithms. However, emerging technologies in robotics, AI and ICT mean that hybrid autonomous systems of this kind will become increasingly common in a much wider set of situations: Emerging technologies in robotics, AI and ICT mean that hybrid autonomous systems of this kind will become increasingly common in a much wider set of situations: - a mixture of autonomous and human-operated drones making deliveries or monitoring public spaces; - a mixture of human traders and autonomous trading agents buying and selling stocks; - a mixture of autonomous and human-operated trains and trams providing efficient, integrated public transport; - autonomous systems assisting with search and rescue missions in disaster areas that are difficult or dangerous to access; - robot carers assisting care workers with the provision of social care in the home In each of these cases smooth, reliable, safe interaction amongst machines and people will be key to success. But how can we guarantee that self-driving cars won't cause a crash or gridlock? How can we understand how autonomous systems will respond to new situations (both acute shocks and long-term gradual changes in their environment), or changes in the way that people interact with them? Consequently, as we enter this new design space, a crucial challenge for the engineers of hybrid autonomous systems across all of these settings is ensuring that the system behaviour is Robust and Resilient and that it meets Regulatory demands: the R3 Challenge. T-B PHASE directly addresses this R3 Challenge for Hybrid Autonomous Systems Engineering, by bringing together expertise in robotics, AI, and systems engineering at the University of Bristol and Thales in a five-year project that targets fundamental autonomous system design problems in the context of three real-world Thales use cases: Hybrid Low-Level Flight, Hybrid Rail Systems, and Hybrid Search & Rescue. Bristol and Thales have a long-standing track record of research collaboration, and by jointly pursuing fundamental research questions in the context of highly practical design problems, alongside a programme of engagement with industry, the public and regulatory bodies, T-B PHASE will significantly advance our capability to operate confidently in one of the most important emerging areas for modern engineering.

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Researchers

Arthur Richards (Principal Investigator)Jan Noyes (Co-Investigator)Jonathan Lawry (Co-Investigator)Nikolai Bode (Co-Investigator)Richard Wilson (Co-Investigator)Sabine Hauert (Co-Investigator)Seth Bullock (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

TASCC: Human Interaction: Designing Autonomy in Vehicles (HI:DAV)
TASCC: The Cooperative Car
Engineering for Cyber Resilience: Through-Life Modelling and Analysis (ENCYRCLE)
Gobal - engagement with NASA JPL and ESA in Robotics, Brain Computer Interfaces, and Secure Adaptive Systems for Space Applications - RoBoSAS
Human-Autonomous Systems Collective Capability (HASCC)

Original classification

Research Grant

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