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Vernon Luk

2 accepted papers

2026

RIO: Flexible Real-time Robot I/O for Cross-Embodiment Robot Learning

RSS 2026poster

Despite recent efforts to collect multi-task or multiembodiment datasets, to design efficient recipes for training Vision-Language-Action models (VLAs), and to showcase these models on selected robot platforms, generalist robot capabilities and cross-embodiment transfer remain largely elusive ideals…

Cited by 0SourceScholar
2025

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation

ICLR 2025spotlight

Recent advances in GPU-based parallel simulation have enabled practitioners to collect large amounts of data and train complex control policies using deep reinforcement learning (RL), on commodity GPUs. However, such successes for RL in robotics have been limited to tasks sufficiently simulated by f…