Vitalis Vosylius

I am a PhD student at Imperial College London, supervised by Edward Johns at The Robot Learning Lab. My research interests include robot manipulation and the broader field of robot learning.

Before joining Imperial for my MSc in AI and subsequently my PhD, I studied Applied Physics and worked on advancing laser beam engineering techniques at the Center for Physical Sciences and Technology. Recently, I also spent time as a research intern at the Dyson Robot Learning Lab, led by Stephen James.

If you would like to get in touch to chat or collaborate with me, feel free to send me an e-mail!

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My research interests lie in the areas of robot learning and manipulation. Specifically, I focus on algorithmically improving sample efficiency and generalisation capabilities of imitation learning frameworks. This allows robots to acquire useful manipulation skills more effectively from limited data and adapt to new tasks and settings quickly.

Below are some of my projects that illustrate my efforts in this area.

We introduce R&D, a method that integrates RGB observations with low-level actions through 3D renders of the robot and iteratively updates them using a learnt denoising process, significantly improving learning efficiency and spatial generalisation.

We learn how to align graph representations of objects and use it as a foundation of a few-shot in-context imitation learning framework.

We use Web-Scale Image Diffusion Models to generate goal images for object rearrangement tasks.

We use graph-based affordance model to find suitable starting configurations for executing different tasks in complex environments.

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