# Meta Learning for Multi-View Visuomotor Systems

arXiv: https://arxiv.org/abs/2310.20414 · HTML: https://mlsanity.com/paper/2310.20414/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 1 references that are in the map.
- First posted on arXiv 31 Oct 2023.

## Builds on (most cited first, 1 of 1)

- [Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks](https://mlsanity.com/paper/2210.06601/) (2022)

## Abstract (arXiv)

This paper introduces a new approach for quickly adapting a multi-view visuomotor system for robots to varying camera configurations from the baseline setup. It utilises meta-learning to fine-tune the perceptual network while keeping the policy network fixed. Experimental results demonstrate a significant reduction in the number of new training episodes needed to attain baseline performance.