InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

M Han, Y Zhu, SC Zhu, YN Wu, Y Zhu - arXiv preprint arXiv:2405.19758, 2024 - arxiv.org
Learning abstract state representations and knowledge is crucial for long-horizon robot
planning. We present InterPreT, an LLM-powered framework for robots to learn symbolic …

Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting

C Hao, K Lin, S Luo, H Soh - arXiv preprint arXiv:2406.09767, 2024 - arxiv.org
Diffusion policies have demonstrated robust performance in generative modeling, prompting
their application in robotic manipulation controlled via language descriptions. In this paper …

RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model

H Zhou, T Ji, J Zhang, F Sun, H Xu - arXiv preprint arXiv:2406.10157, 2024 - arxiv.org
Minigolf, a game with countless court layouts, and complex ball motion, constitutes a
compelling real-world testbed for the study of embodied intelligence. As it not only …