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How AI powered robots will change our life in the next 5 years.
Dr. Daniel Hao (Lecturer in AI and Robotics)
Find the details on the project listing on FindAPhD.
About the Project
GTA funded PhD studentship in Computing
Highlights
- Advance State-of-the-Art in Imitation Learning: Elevate existing imitation learning methodologies (such as GAIL, Q-learning and Meta-learning) to enhance robotic capabilities in complex manufacturing processes.
- Develop a Robotic Imitation Learning Framework for Manufacturing: Create a pioneering imitation learning framework tailored for robotic applications in manufacturing operations, including precision tasks like welding and machining.
- Curate a Digital Manufacturing Dataset: Support the curation of a vast digital dataset derived from the DigitalMetal consortium’s findings, aimed at supporting and advancing robotic manufacturing research.
Project
Robotic technology plays a pivotal role in the UK’s digital strategy, enhancing the digital and data roadmap for the transition from traditional manufacturing. This shift aims to boost the sector’s competitiveness, sustainability, and innovation.
