diff --git a/README.md b/README.md index 9caa34a..77ce8c6 100755 --- a/README.md +++ b/README.md @@ -111,7 +111,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR * **UniAff**: "UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models", *arXiv, Sept 2024*. [[Paper](https://arxiv.org/abs/2409.20551)] [[Website](https://sites.google.com/view/uni-aff)] * **Plan-Seq-Learn**:"Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks", *ICLR, May 2024*. [[Paper](https://arxiv.org/abs/2405.01534)], [[PyTorch Code](https://github.com/mihdalal/planseqlearn)] [[Website](https://mihdalal.github.io/planseqlearn/)] * **ExploRLLM**:"ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models", *arXiv, Mar 2024*. [[Paper](https://arxiv.org/abs/2403.09583)] [[Website](https://explorllm.github.io/)] -* **ManipVQA**:"ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models", *IROS, Oct 2024*, [[Paper](https://arxiv.org/abs/2403.11289)] [[PyTorch Code](https://github.com/SiyuanHuang95/ManipVQA)] +* **ManipVQA**:"ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models", *IROS, Mar 2024*, [[Paper](https://arxiv.org/abs/2403.11289)] [[PyTorch Code](https://github.com/SiyuanHuang95/ManipVQA)] * **BOSS**: "Bootstrap Your Own Skills: Learning to Solve New Tasks with LLM Guidance", *CoRL, Nov 2023*. [[Paper](https://openreview.net/forum?id=a0mFRgadGO)] [[Website](https://clvrai.github.io/boss/)] * **Lafite-RL**: "Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models", *CoRL Workshop, Nov 2023*. [[Paper](https://arxiv.org/abs/2311.02379)] * **Octopus**:"Octopus: Embodied Vision-Language Programmer from Environmental Feedback", *arXiv, Oct 2023*, [[Paper](https://arxiv.org/abs/2310.08588)] [[PyTorch Code](https://github.com/dongyh20/Octopus)] [[Website](https://choiszt.github.io/Octopus/)]