3 citations · 5 across the 2 of their papers we have counts for
3 papers
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning
Peide Huang, Yuhan Hu, Nataliya Nechyporenko +3
This paper introduces a framework, called EMOTION, for generating expressive motion sequences in humanoid robots, enhancing their ability to engage in humanlike non-verbal communic…
Local Policies Enable Zero-shot Long-horizon Manipulation
Murtaza Dalal, Min Liu, Walter Talbott +4
Sim2real for robotic manipulation is difficult due to the challenges of simulating complex contacts and generating realistic task distributions. To tackle the latter problem, we in…
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
Yao-Hung Hubert Tsai, Walter Talbott, Jian Zhang
Step-by-step decision planning with large language models (LLMs) is gaining attention in AI agent development. This paper focuses on decision planning with uncertainty estimation t…