Are you passionate about bridging the gap between advanced AI and robotics? Join us at the Lincoln Centre for Autonomous Systems (L-CAS) to work on an exciting project that combines state-of-the-art Large Language Models with real-world robotics applications.
In this project, you will develop innovative ways to enable natural interactions between humans and robots using cutting-edge AI technology. The core focus is on enhancing robots’ ability to understand and communicate about their environment by leveraging Large Language Models and live sensor data.
Your work will contribute to making robots more accessible to untrained users through intuitive, conversation-based interfaces. You’ll be working with modern AI chatbots, implementing Retrieval Augmented Generation (RAG) techniques to provide them with real-time context from robot sensors and systems.
Required Skills
- Strong programming skills in Python
- Keen interest in robotics and Large Language Models
- Enthusiasm for learning new technologies
- Excellent communication abilities
Desirable Skills
- Experience with ROS2
- Familiarity with Model Context Protocol or Retrieval Augmented Generation (RAG)
- Background in programming robot behaviours using Behaviour Trees or State Machines
What We Offer
- Hands-on experience with cutting-edge AI and robotics technologies
- Opportunity to develop expertise in Foundation Models and Robotics Programming
- Integration into the dynamic L-CAS research team
- Access to state-of-the-art robotics facilities
This position is suitable for interns or students pursuing a programme of study in robotics and AI at the University of Lincoln. You’ll be part of a forward-thinking team working at the intersection of artificial intelligence and autonomous systems.
If you are interested, fill out our Expression of Interest Form, choosing mhanheide@lincoln.ac.uk as the academic to supervise the project.