I am a dedicated AI and Robotics researcher currently contributing to groundbreaking developments at Dyson, Hullavington in the United Kingdom.

​

My expertise lies in crafting innovative autonomous solutions for the intricate challenges of robotic systems. I specialize in developing cutting-edge algorithms and techniques, utilizing AI methods to enhance the autonomy of robotic systems. My skills span across grasping, manipulation, decision-making, navigation, task and motion planning, and exploration. Significantly, I have successfully implemented innovative approaches to tackle real-world challenges in robotics systems. To augment these endeavors, I seamlessly integrate various learning techniques, incorporating imitation and diffusion policies. I leverage robotics transformers and Large Language Models (LLM) to furnish robots with comprehensive task descriptions. My overarching goal is to continually push the boundaries of intelligent systems and address diverse challenges in autonomous robotics.  

​

Furthermore, my research extends to developing planning algorithms in the presence of uncertain information and human-robot interactions. Whether dealing with uncertainty in the initial state of the robot world or the outcome of manipulation actions, my methodologies provide robust solutions. These cutting-edge approaches have undergone rigorous testing, both in simulation environments and through practical applications in real-world scenarios, utilizing robots such as YuMi, TIAGo-PAL, and KUKA-LWR.

​

My research interests include:

- Robot Manipulation

- Artificial Intelligence and Large Language Models in Robotics 

- Cognitive Robotics

- Learning Techniques for Human-Robot Interactions

- Planning under Uncertainty 

​