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title

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Green screen augmentation enables scene generalisation in robotic manipulation.

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site name

author

updated

2026-03-07 03:13:56

raw text

Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation Eugene Teoh 1,* , Sumit Patidar 1,* , Xiao Ma 1 , Stephen James 1 1 Dyson Robot Learning Lab, * Equal Contribution arXiv Code GreenAug provides a simple visual augmentation to robot policies by first collecting data with a green screen, then augmenting it with different textures. The resulting policy can be transferred to unseen visually distinct novel locations (scenes). Abstract Generalising vision-based manipulation policies to novel environments remains a challenging area with limited exploration. Current practices involve collecting data in one location, training imitation learning or reinforcement learning policies with this data, and deploying the policy in the same location. However, this approach lacks s...

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