Yutao Ouyang — accepted AI-conference papers

2025

Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models

Yutao Ouyang, Jinhan Li, Yunfei Li, Zhongyu Li, Chao Yu, Koushil Sreenath +1

IROS 2025

We present a large language model (LLM) based system to empower quadrupedal robots with problem-solving abilities for long-horizon tasks beyond short-term motions. Long-horizon tasks for quadrupeds are challenging since they require both a high-level understanding of the semantics of the problem for

Cited by 28 Source ↗Scholar ↗

2024

LAGOON: Language-Guided Motion Control

Shusheng Xu, Huaijie Wang, Yutao Ouyang, Jiaxuan Gao, Zhiyu Mei, Chao Yu +1

ICRA 2024poster

We aim to control a robot to physically behave in the real world following any high-level language command like "cartwheel" or "kick". Although human motion datasets exist, this task remains particularly challenging since generative models can produce physically unrealistic motions, which will be mo…

Cited by 5 Source ↗Scholar ↗