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Zhuoran Peng

2 accepted papers

2024

BAKU: An Efficient Transformer for Multi-Task Policy Learning

NeurIPS 2024poster

Training generalist agents capable of solving diverse tasks is challenging, often requiring large datasets of expert demonstrations. This is particularly problematic in robotics, where each data point requires physical execution of actions in the real world. Thus, there is a pressing need for archit…

2024

OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation

CoRL 2024poster

Open-sourced, user-friendly tools form the bedrock of scientific advancement across disciplines. The widespread adoption of data-driven learning has led to remarkable progress in multi-fingered dexterity, bimanual manipulation, and applications ranging from logistics to home robotics. However, exist…

Cited by 56SourcecodeScholar