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updated the environment robotics section
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XuhuiZhou committed Apr 16, 2024
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#### Virtual Environments

#### Robotics
[December, 2023] [RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments](https://proceedings.mlr.press/v205/xiong23a.html), Haoyu Xiong et al., Proceedings of The 6th Conference on Robot Learning

[August, 2022] [Do As I Can and Not As I Say: Grounding Language in Robotic Affordances](https://say-can.github.io/), Michael Ahn et al., arXiv preprint arXiv:2204.01691

[June, 2022] [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/abs/2207.05608), Wenlong Huang et al., arXiv preprint arXiv:2207.05608

[June, 2023] [One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments](https://arxiv.org/abs/2306.12372), Yufei Wang et al., Robotics: Science and Systems (RSS)

[August, 2023] [Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration](https://arxiv.org/abs/2108.06038), Chen Wang et al., arXiv

[March, 2024] [Yell At Your Robot: Improving On-the-Fly from Language Corrections](https://arxiv.org/abs/2403.12910), Lucy Xiaoyang Shi et al., arXiv

[April, 2016] [Human--robot interaction: status and challenges](https://journals.sagepub.com/doi/10.1177/0018720816644364), Thomas B Sheridan et al., Human factors

[June, 2021] [A taxonomy to structure and analyze human--robot interaction](https://link.springer.com/article/10.1007/s12369-020-00666-5), Linda Onnasch et al., International Journal of Social Robotics

[July, 2023] [Robotic vision for human-robot interaction and collaboration: A survey and systematic review](https://arxiv.org/abs/2307.15363), Nicole Robinson et al., ACM Transactions on Human-Robot Interaction

[October, 2022] [A survey of multi-agent Human--Robot Interaction systems](https://arxiv.org/abs/2212.05286), Abhinav Dahiya et al., Robotics and Autonomous Systems

[March, 2023] [Nonverbal Cues in Human Robot Interaction: A Communication Studies Perspective](https://doi.org/10.1145/3570169), Jacqueline Urakami et al., J. Hum.-Robot Interact.

[April, 2023] [15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction](https://doi.org/10.1145/3571718), Katie Winkle et al., J. Hum.-Robot Interact.


### Modeling

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| Title | Date | environment | agents | evaluation | other | helper |
|:----------------------------------------------------------------------------------------------------------------------------|:--------------|:----------------------------------|:----------------------------------|:-----------------------------------------|:---------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924) | July, 2023 | Collaboration, Embodied AI | Prompting, More than three agents | Rule-based evaluation | No human involvement | [July, 2023] [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924), Chen Qian et al., arXiv |
| [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512) | October, 2023 | Pure Competition, Text and Speech | Prompting | Rule-based evaluation | No human involvement | [October, 2023] [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512), Qinlin Zhao et al., arXiv |
| [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://openreview.net/forum?id=mM7VurbA4r) | October, 2024 | Mixed Objectives, Text and Speech | Prompting, Two agents | Model-based evaluation, Human evaluation | Human-in-loop | [October, 2024] [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://openreview.net/forum?id=mM7VurbA4r), Xuhui Zhou et al., ICLR |
| [Embodied LLM Agents Learn to Cooperate in Organized Teams](https://arxiv.org/abs/2403.12482) | March, 2024 | Collaboration, Embodied AI | Prompting, More than three agents | Model-based evaluation, Human evaluation | Education | [March, 2024] [Embodied LLM Agents Learn to Cooperate in Organized Teams](https://arxiv.org/abs/2403.12482), Xudong Guo et al., arXiv |
| Title | Date | environments | agents | evaluation | other | helper |
|:-------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:---------------------------------------------------------------|:-------------------------------------------------------------------|:-------------------------------|:------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924) | July, 2023 | collaboration, embodied | prompting_and_in_context_learning, more_than_three_agents | rule_based | n/a | [July, 2023] [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924), Chen Qian et al., arXiv |
| [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512) | October, 2023 | competition, text | prompting_and_in_context_learning, two_agents | rule_based | n/a | [October, 2023] [CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents](https://arxiv.org/abs/2310.17512), Qinlin Zhao et al., arXiv |
| [RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments](https://proceedings.mlr.press/v205/xiong23a.html) | December, 2023 | implicit_objectives, robotics | reinforcement_learning, agents_with_memory | human, rule_based | simulated_humans | [December, 2023] [RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments](https://proceedings.mlr.press/v205/xiong23a.html), Haoyu Xiong et al., Proceedings of The 6th Conference on Robot Learning |
| [Do As I Can and Not As I Say: Grounding Language in Robotic Affordances](https://say-can.github.io/) | August, 2022 | mixed_objectives, implicit_objectives, robotics | finetuning, reinforcement_learning, agents_with_memory | human, rule_based, model_based | simulated_humans | [August, 2022] [Do As I Can and Not As I Say: Grounding Language in Robotic Affordances](https://say-can.github.io/), Michael Ahn et al., arXiv preprint arXiv:2204.01691 |
| [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/abs/2207.05608) | June, 2022 | mixed_objectives, implicit_objectives, robotics | finetuning, reinforcement_learning, agents_with_memory | human, rule_based, model_based | simulated_humans | [June, 2022] [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/abs/2207.05608), Wenlong Huang et al., arXiv preprint arXiv:2207.05608 |
| [One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments](https://arxiv.org/abs/2306.12372) | June, 2023 | robotics | reinforcement_learning | human, rule_based | human_agent | [June, 2023] [One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments](https://arxiv.org/abs/2306.12372), Yufei Wang et al., Robotics: Science and Systems (RSS) |
| [Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration](https://arxiv.org/abs/2108.06038) | August, 2023 | collaboration, mixed_objectives, robotics | two_agents, reinforcement_learning | human | human_agent, simulated_humans | [August, 2023] [Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration](https://arxiv.org/abs/2108.06038), Chen Wang et al., arXiv |
| [Yell At Your Robot: Improving On-the-Fly from Language Corrections](https://arxiv.org/abs/2403.12910) | March, 2024 | collaboration, mixed_objectives, robotics | two_agents, finetuning, reinforcement_learning, agents_with_memory | human | human_agent | [March, 2024] [Yell At Your Robot: Improving On-the-Fly from Language Corrections](https://arxiv.org/abs/2403.12910), Lucy Xiaoyang Shi et al., arXiv |
| [Human--robot interaction: status and challenges](https://journals.sagepub.com/doi/10.1177/0018720816644364) | April, 2016 | collaboration, mixed_objectives, robotics | two_agents, finetuning, reinforcement_learning | human | human_agent | [April, 2016] [Human--robot interaction: status and challenges](https://journals.sagepub.com/doi/10.1177/0018720816644364), Thomas B Sheridan et al., Human factors |
| [A taxonomy to structure and analyze human--robot interaction](https://link.springer.com/article/10.1007/s12369-020-00666-5) | June, 2021 | collaboration, mixed_objectives, robotics | two_agents | human | human_agent | [June, 2021] [A taxonomy to structure and analyze human--robot interaction](https://link.springer.com/article/10.1007/s12369-020-00666-5), Linda Onnasch et al., International Journal of Social Robotics |
| [Robotic vision for human-robot interaction and collaboration: A survey and systematic review](https://arxiv.org/abs/2307.15363) | July, 2023 | collaboration, mixed_objectives, implicit_objectives, robotics | two_agents, agent_teams, agents_with_personas | human, rule_based | human_agent, simulated_humans | [July, 2023] [Robotic vision for human-robot interaction and collaboration: A survey and systematic review](https://arxiv.org/abs/2307.15363), Nicole Robinson et al., ACM Transactions on Human-Robot Interaction |
| [A survey of multi-agent Human--Robot Interaction systems](https://arxiv.org/abs/2212.05286) | October, 2022 | collaboration, mixed_objectives, robotics | two_agents, more_than_three_agents, agent_teams | human | human_agent | [October, 2022] [A survey of multi-agent Human--Robot Interaction systems](https://arxiv.org/abs/2212.05286), Abhinav Dahiya et al., Robotics and Autonomous Systems |
| [Nonverbal Cues in Human Robot Interaction: A Communication Studies Perspective](https://doi.org/10.1145/3570169) | March, 2023 | collaboration, mixed_objectives, implicit_objectives, robotics | two_agents | human | human_agent | [March, 2023] [Nonverbal Cues in Human Robot Interaction: A Communication Studies Perspective](https://doi.org/10.1145/3570169), Jacqueline Urakami et al., J. Hum.-Robot Interact. |
| [15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction](https://doi.org/10.1145/3571718) | April, 2023 | robotics | two_agents | human | human_agent | [April, 2023] [15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction](https://doi.org/10.1145/3571718), Katie Winkle et al., J. Hum.-Robot Interact. |
| [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://openreview.net/forum?id=mM7VurbA4r) | October, 2024 | mixed_objectives, text | prompting_and_in_context_learning, two_agents | model_based, human | human_agent | [October, 2024] [SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents](https://openreview.net/forum?id=mM7VurbA4r), Xuhui Zhou et al., ICLR |
| [Embodied LLM Agents Learn to Cooperate in Organized Teams](https://arxiv.org/abs/2403.12482) | March, 2024 | collaboration, embodied | prompting_and_in_context_learning, more_than_three_agents | model_based, human | education | [March, 2024] [Embodied LLM Agents Learn to Cooperate in Organized Teams](https://arxiv.org/abs/2403.12482), Xudong Guo et al., arXiv |
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