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@ -53,6 +53,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR
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## Planning
* **BTGenBot**: "BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs", *arXiv, March 2024*. [[Paper](https://arxiv.org/abs/2403.12761)][[Github](https://github.com/AIRLab-POLIMI/BTGenBot)]
* **Attentive Support**: "To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions", *arXiv, March 2024*. [[Paper](https://arxiv.org/abs/2403.12533)] [[Website](https://hri-eu.github.io/AttentiveSupport/)][[Code](https://github.com/HRI-EU/AttentiveSupport)]
* **Beyond Text**: "Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues", *arxiv, Feb 2024*. [[Paper](https://arxiv.org/abs/2402.03494)]
* **SayCanPay**: "SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge", AAAI Jan 2024, [[Paper](https://arxiv.org/abs/2308.12682)] [[Code](https://github.com/RishiHazra/saycanpay)] [[Website](https://rishihazra.github.io/SayCanPay/)]
@ -64,7 +65,6 @@ If you find this repository useful, please consider [citing](#citation) and STAR
* **Co-LLM-Agents**: "Building Cooperative Embodied Agents Modularly with Large Language Models", *arXiv, Jul 2023*. [[Paper](https://arxiv.org/abs/2307.02485)] [[Code](https://github.com/UMass-Foundation-Model/Co-LLM-Agents)] [[Website](https://vis-www.cs.umass.edu/Co-LLM-Agents/)]
* **LLM-Reward**: "Language to Rewards for Robotic Skill Synthesis", *arXiv, Jun 2023*. [[Paper](https://arxiv.org/abs/2306.08647)] [[Website](https://language-to-reward.github.io/)]
* **LLM-BRAIn**: "LLM-BRAIn: AI-driven Fast Generation of Robot Behaviour Tree based on Large Language Model", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.19352)]
* **BTGenBot**: "BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs", *arXiv, March 2024*. [[Paper](https://arxiv.org/abs/2403.12761)][[Github](https://github.com/AIRLab-POLIMI/BTGenBot)]
* **GLAM**: "Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2302.02662)] [[Pytorch Code](https://github.com/flowersteam/Grounding_LLMs_with_online_RL)]
* **LLM-MCTS**: "Large Language Models as Commonsense Knowledge for Large-Scale Task Planning", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.14078v1)]
* **AlphaBlock**: "AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation", *arxiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.18898)]