麻豆传媒AV

This project lies at the intersection of artificial intelligence, robotics, and human-computer interaction, focusing on vision-language models and their application to hybrid autonomy in ground and aerial vehicles. Vision-language models represent a transformative step in AI, enabling systems to integrate and interpret visual and textual data seamlessly. Their application in autonomous systems enhances perception, situational understanding, and decision-making, making these technologies vital for safe and efficient operations in diverse environments. Ground and aerial autonomy, increasingly relevant in domains such as logistics, disaster response, and urban mobility, stands to benefit from these advancements by achieving more adaptive, intelligent, and human-centred solutions. The project's focus on designing systems that enhance human cognition, and collaboration underscores its importance in addressing today鈥檚 challenges of technological integration and user trust in autonomous systems.

This PhD project aims to advance research in human-centred hybrid autonomous vehicles, combining ground and aerial systems with multimodal foundation models. The focus is on developing innovative solutions in areas such as vision-language model development, decision-making for autonomous systems, enhanced perception, and human-machine interface design that prioritises human cognition augmentation. Candidates are encouraged to explore and discuss a wide range of topics within these domains, contributing to the design of intelligent, adaptive, and user-friendly autonomous technologies. Interested students are invited to reach out to discuss their interests and tailor the research direction to align with their expertise and aspirations.

This research project is poised to make significant contributions to the fields of autonomous systems and human-computer interaction by advancing the design of hybrid ground and aerial vehicles powered by multimodal foundation models. The outcomes will drive innovation in vision-language integration, enhance decision-making frameworks for autonomous systems, and improve human-machine interfaces for safer, more efficient, and intuitive collaboration. The research will have broad implications for areas such as logistics, mobility, disaster response, and smart city development.

Students undertaking this project will gain a wealth of experience and transferable skills to propel their careers. They will work in world-class research labs equipped with cutting-edge facilities and have the chance to collaborate with leading industrial partners. Through hands-on involvement in programming, system testing of hybrid vehicles, and experimentation, students will acquire expertise in advanced technologies. They will also have opportunities to publish high-quality research papers, present their work at international conferences, and build global networks with leaders in academia and industry. This comprehensive experience will provide a strong foundation for careers in academia, research, or industry innovation.

We invite students interested in joining this project, focused on an area of human-centred autonomous vehicles with foundation models that may be key to bringing about the next revolution in Artificial Intelligence, and to do so with a focus on one of the most complex and interesting technological areas such as the aerospace and transport field. 麻豆传媒AV works with over 1,500 organisations, including the leading global aerospace companies such as Airbus, Boeing, Rolls Royce, and Thales, and JLR, and has one of the largest supercomputing centres in the UK as well as its own airport at the university. This project is based at the Human-Machine-X Collaboration (HUMAX) lab at the advanced Aerospace Integration Research Centre (AIRC). This makes it an ideal research environment with world-class research platforms for the development of this project.