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Phillip Isola

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#machine learning Preprint Sep 2026

The Neverwhere Visual Parkour Benchmark Suite

The Neverwhere Benchmark Suite is developed, comprised of over sixty 3D Gaussian Splatting reconstructions of urban indoor and outdoor scenes, to encourage large-scale and reproducible robot evaluation by making it easier to create and integrate Gaussian splats-based reconstructions into simulated continuous testing se...

Zi-Yu Chen, Henghui Bao, Hao-Ran Chang et al. · 0 citations
Preprint Aug 2026

Pre-training Visual Dexterity in Simulation

Simulation Pre-training for Dexterity (SPD) is introduced, a pre-training framework for dexterous manipulation that uses data entirely collected in simulation and outperforms training behavior cloning policies from scratch, showing that simulation teleoperation is a viable pre-training source for real-world dexterous m...

Sarthak Kamat, Adam Rashid, Satvik Sharma et al. · 0 citations
Jun 2026

Scalable Behavior Cloning with Open Data, Training, and Evaluation

This work introduces ABC, a fully open-source stack for manipulation with behavior cloning, and offers a co-training recipe that produces correlated simulation and real-world evaluation, offering a reliable proxy for ablating model-design and training decisions before costly real-world evaluation.

Arthur Allshire, Himanshu Gaurav Singh, Ritvik Singh et al. · 4 citations

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