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@ -75,16 +75,16 @@ If you find this repository useful, please consider [citing](#citation) and STAR
---
## Manipulation
* **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/)]
* **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/)]
* **[Text2Reward]** "Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning", *arXiv, Sep 2023*
[[Paper](https://arxiv.org/abs/2309.11489)] [[Website](https://text-to-reward.github.io/)]
* **[VoxPoser]** "VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models", *arXiv, July 2023*
[[Paper](https://arxiv.org/abs/2307.05973)] [[Website](https://voxposer.github.io/)]
* **ProgramPort**:"Programmatically Grounded, Compositionally Generalizable Robotic Manipulation", *ICLR, Apr 2023*, [[Paper](https://arxiv.org/abs/2304.13826)] [[Website] (https://progport.github.io/)]
* **CoTPC**:"Chain-of-Thought Predictive Control", *arXiv, Apr 2023*, [[Paper](https://arxiv.org/abs/2304.00776)] [[Code](https://github.com/SeanJia/CoTPC)]
* **DIAL**:"Robotic Skill Acquistion via Instruction Augmentation with Vision-Language Models", *arXiv, Nov 2022*, [[Paper](https://arxiv.org/abs/2211.11736)] [[Website](https://instructionaugmentation.github.io/)]
* **CLIP-Fields**:"CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory", *arXiv, Oct 2022*, [[Paper](https://arxiv.org/abs/2210.05663)] [[PyTorch Code](https://github.com/notmahi/clip-fields)] [[Website](https://mahis.life/clip-fields/)]
* **VIMA**:"VIMA: General Robot Manipulation with Multimodal Prompts", *arXiv, Oct 2022*, [[Paper](https://arxiv.org/abs/2210.03094)] [[Pytorch Code](https://github.com/vimalabs/VIMA)] [[Website](https://vimalabs.github.io/)]
* **DIAL**: "Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models", *arXiv, Nov 2022*, [[Paper](https://arxiv.org/abs/2211.11736)] [[Website](https://instructionaugmentation.github.io/)]
* **CLIP-Fields**: "CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory", *arXiv, Oct 2022*, [[Paper](https://arxiv.org/abs/2210.05663)] [[PyTorch Code](https://github.com/notmahi/clip-fields)] [[Website](https://mahis.life/clip-fields/)]
* **VIMA**: "VIMA: General Robot Manipulation with Multimodal Prompts", *arXiv, Oct 2022*, [[Paper](https://arxiv.org/abs/2210.03094)] [[Pytorch Code](https://github.com/vimalabs/VIMA)] [[Website](https://vimalabs.github.io/)]
* **Perceiver-Actor**:"A Multi-Task Transformer for Robotic Manipulation", *CoRL, Sep 2022*. [[Paper](https://arxiv.org/abs/2209.05451)] [[Pytorch Code](https://github.com/peract/peract)] [[Website](https://peract.github.io/)]
* **LaTTe**: "LaTTe: Language Trajectory TransformEr", *arXiv, Aug 2022*. [[Paper](https://arxiv.org/abs/2208.02918)] [[TensorFlow Code](https://github.com/arthurfenderbucker/NL_trajectory_reshaper)] [[Website](https://www.microsoft.com/en-us/research/group/autonomous-systems-group-robotics/articles/robot-language/)]
* **Robots Enact Malignant Stereotypes**: "Robots Enact Malignant Stereotypes", *FAccT, Jun 2022*. [[Paper](https://arxiv.org/abs/2207.11569)] [[Pytorch Code](https://github.com/ahundt/RobotsEnactMalignantStereotypes)] [[Website](https://sites.google.com/view/robots-enact-stereotypes/home)] [[Washington Post](https://www.washingtonpost.com/technology/2022/07/16/racist-robots-ai/)] [[Wired](https://www.wired.com/story/how-to-stop-robots-becoming-racist/)] (code access on request)
@ -96,23 +96,23 @@ If you find this repository useful, please consider [citing](#citation) and STAR
* **TIP**: "Multimodal Procedural Planning via Dual Text-Image Prompting", *arXiV, May 2023*, [[Paper](https://arxiv.org/abs/2305.01795)]
* **VLaMP**: "Pretrained Language Models as Visual Planners for Human Assistance", *arXiV, Apr 2023*, [[Paper](https://arxiv.org/abs/2304.09179)]
* **R3M**:"R3M: A Universal Visual Representation for Robot Manipulation", *arXiv, Nov 2022*, [[Paper](https://arxiv.org/abs/2203.12601)] [[Pytorch Code](https://github.com/facebookresearch/r3m)] [[Website](https://tinyurl.com/robotr3m)]
* **LIV**:"LIV: Language-Image Representations and Rewards for Robotic Control", *arXiv, Jun 2023*, [[Paper](https://arxiv.org/abs/2306.00958)] [[Pytorch Code](https://github.com/penn-pal-lab/LIV)] [[Website](https://penn-pal-lab.github.io/LIV/)]
* **LILAC**:"No, to the Right – Online Language Corrections for Robotic Manipulation via Shared Autonomy", *arXiv, Jan 2023*, [[Paper](https://arxiv.org/abs/2301.02555)] [[Pytorch Code](https://github.com/Stanford-ILIAD/lilac)]
* **NLMap**:"Open-vocabulary Queryable Scene Representations for Real World Planning", *arXiv, Oct 2023*, [[Paper](https://arxiv.org/abs/2209.09874)] [[Website](https://nlmap-saycan.github.io/)]
* **LLM-GROP**:"Task and Motion Planning with Large Language Models for Object Rearrangement", *arXiv, May 2023*. [[Paper](https://arxiv.org/pdf/2303.06247)] [[Website](https://sites.google.com/view/llm-grop)]
* **LIV**: "LIV: Language-Image Representations and Rewards for Robotic Control", *arXiv, Jun 2023*, [[Paper](https://arxiv.org/abs/2306.00958)] [[Pytorch Code](https://github.com/penn-pal-lab/LIV)] [[Website](https://penn-pal-lab.github.io/LIV/)]
* **LILAC**: "No, to the Right – Online Language Corrections for Robotic Manipulation via Shared Autonomy", *arXiv, Jan 2023*, [[Paper](https://arxiv.org/abs/2301.02555)] [[Pytorch Code](https://github.com/Stanford-ILIAD/lilac)]
* **NLMap**: "Open-vocabulary Queryable Scene Representations for Real World Planning", *arXiv, Oct 2023*, [[Paper](https://arxiv.org/abs/2209.09874)] [[Website](https://nlmap-saycan.github.io/)]
* **LLM-GROP**: "Task and Motion Planning with Large Language Models for Object Rearrangement", *arXiv, May 2023*. [[Paper](https://arxiv.org/pdf/2303.06247)] [[Website](https://sites.google.com/view/llm-grop)]
* "Towards a Unified Agent with Foundation Models", *ICLR, 2023*. [[Paper](https://www.semanticscholar.org/paper/TOWARDS-A-UNIFIED-AGENT-WITH-FOUNDATION-MODELS-Palo-Byravan/67188a50e1d8a601896f1217451b99f646af4ac8)]
* **ELLM**:"Guiding Pretraining in Reinforcement Learning with Large Language Models", *arXiv, Feb 2023*. [[Paper](https://arxiv.org/abs/2302.06692)]
* **ELLM**: "Guiding Pretraining in Reinforcement Learning with Large Language Models", *arXiv, Feb 2023*. [[Paper](https://arxiv.org/abs/2302.06692)]
* "Language Instructed Reinforcement Learning for Human-AI Coordination", *arXiv, Jun 2023*. [[Paper](https://arxiv.org/pdf/2304.07297)]
* **VoxPoser**:"VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models", *arXiv, Jul 2023*. [[Paper](https://arxiv.org/abs/2307.05973)] [[Website](https://voxposer.github.io/)]
* **DEPS**:"Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents", *arXiv, Feb 2023*. [[Paper](https://arxiv.org/abs/2302.01560)] [[Pytorch Code](https://github.com/CraftJarvis/MC-Planner)]
* **Plan4MC**:"Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks", *arXiv, Mar 2023*. [[Paper](https://arxiv.org/abs/2303.16563)] [[Pytorch Code](https://github.com/PKU-RL/Plan4MC)] [[Website](https://sites.google.com/view/plan4mc)]
* **VOYAGER**:"VOYAGER: An Open-Ended Embodied Agent with Large Language Models", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.16291)] [[Pytorch Code](https://github.com/MineDojo/Voyager)] [[Website](https://voyager.minedojo.org/)]
* **DEPS**: "Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents", *arXiv, Feb 2023*. [[Paper](https://arxiv.org/abs/2302.01560)] [[Pytorch Code](https://github.com/CraftJarvis/MC-Planner)]
* **Plan4MC**: "Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks", *arXiv, Mar 2023*. [[Paper](https://arxiv.org/abs/2303.16563)] [[Pytorch Code](https://github.com/PKU-RL/Plan4MC)] [[Website](https://sites.google.com/view/plan4mc)]
* **VOYAGER**: "VOYAGER: An Open-Ended Embodied Agent with Large Language Models", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.16291)] [[Pytorch Code](https://github.com/MineDojo/Voyager)] [[Website](https://voyager.minedojo.org/)]
* **Scalingup**: "Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition", *arXiv, July 2023*. [[Paper](https://arxiv.org/abs/2307.14535)] [[Code](https://github.com/columbia-ai-robotics/scalingup)] [[Website](https://www.cs.columbia.edu/~huy/scalingup/)]
* **Gato**: "A Generalist Agent", *TMLR, Nov 2022*. [[Paper/PDF](https://openreview.net/pdf?id=1ikK0kHjvj)] [[Website](https://www.deepmind.com/publications/a-generalist-agent)]
* **RoboCat**: "RoboCat: A self-improving robotic agent", *arxiv, Jun 2023*. [[Paper/PDF](https://arxiv.org/abs/2306.11706)] [[Website](https://www.deepmind.com/blog/robocat-a-self-improving-robotic-agent)]
* **PhysObjects**: "Physically Grounded Vision-Language Models for Robotic Manipulation", *arxiv, Sept 2023*. [[Paper](https://arxiv.org/abs/2309.02561)]
* **MetaMorph**: "METAMORPH: LEARNING UNIVERSAL CONTROLLERS WITH TRANSFORMERS", *arxiv, Mar 2022*. [[Paper](https://arxiv.org/abs/2203.11931)]
* **SPRINT**: "SPRINT: Semantic Policy Pre-training via Language Instruction Relabeling", *arxiv, June 2023*. [[Paper](https://arxiv.org/abs/2306.11886)] [[Website](https://clvrai.github.io/sprint/)]
* **SPRINT**: "SPRINT: Semantic Policy Pre-training via Language Instruction Relabeling", *arXiv, June 2023*. [[Paper](https://arxiv.org/abs/2306.11886)] [[Website](https://clvrai.github.io/sprint/)]
* **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/)]