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Autonomous artificial intelligence (AI) agents have emerged as promising protocols for automatically understanding the language-based environment, particularly with the exponential development of large language models (LLMs).
A study on the benefits of augmented reality in retaining working memory in assembly tasks: A focus on differences in gender
Lei Hou and Xiangyu Wang. 2013 · 2013
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Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks
Nirit Gavish, Teresa Gutiérrez, Sabine Webel, Jorge Rodríguez, Matteo Peveri, Uli Bockholt, and Franco Tecchia. 2015 · 2015
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The ofai multi-modal task description corpus
Stephanie Schreitter and Brigitte Krenn. 2016 · 2016
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Working with augmented reality? a long-term analysis of in-situ instructions at the assembly workplace
Markus Funk, Andreas Bächler, Liane Bächler, Thomas Kosch, Thomas Heidenreich, and Albrecht Schmidt. 2017 · 2017
Earlier work this paper cites.
A multimodal corpus for mutual gaze and joint attention in multiparty situated interaction
Dimosthenis Kontogiorgos, Vanya Avramova, Simon Alexanderson, Patrik Jonell, Catharine Oertel, Jonas Beskow, Gabriel Skantze, and Joakim Gustafson. 2018 · 2018
Earlier work this paper cites.
ARMI: An Architecture for Recording Multimodal Interactions
Jonell Patrik, Bystedt Mattias, Fallgren Per, Kontogiorgos Dimosthenis, Lopes José, Malisz Zofia, Mascarenhas Samuel, Oertel Catharine, Eran Raveh, and Shore Todd. 2018 · 2018
Earlier work this paper cites.
Collaborative dialogue in minecraft
Anjali Narayan-Chen, Prashant Jayannavar, and Julia Hockenmaier. 2019 · 2019
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Executing instructions in situated collaborative interactions
Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, and Yoav Artzi. 2019 · 2019
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Fiaar: an augmented reality firetruck equipment assembly and configuration assistant technology
Fahmi Bellalouna, Mika Luimula, Panagiotis Markopoulos, Evangelos Markopoulos, and Franco Zipperling. 2020 · 2020
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Augmented reality for the manufacturing industry: the case of an assembly assistant
Carola Botto, Alberto Cannavò, Daniele Cappuccio, Giada Morat, Amir Nematollahi Sarvestani, Paolo Ricci, Valentina Demarchi, and Alessandra Saturnino. 2020 · 2020
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Using augmented reality with speech input for non-native children’s language learning
Che Samihah Che Dalim, Mohd Shahrizal Sunar, Arindam Dey, and Mark Billinghurst. 2020 · 2020
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Chinese Whispers: A Multimodal Dataset for Embodied Language Grounding
Kontogiorgos Dimosthenis, Sibirtseva Elena, and Gustafson Joakim. 2020 · 2020
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Robotics and industry 4.0
Ruchi Goel and Pooja Gupta. 2020 · 2020
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Jointly improving parsing and perception for natural language commands through human-robot dialog
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond Mooney. 2020 · 2020
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Artificial intelligence, cyber-threats and industry 4.0: Challenges and opportunities
Adrien Bécue, Isabel Praça, and João Gama. 2021 · 2021
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How can i help you? an intelligent virtual assistant for industrial robots
Chen Li, Jinha Park, Hahyeon Kim, and Dimitrios Chrysostomou. 2021 · 2021
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Bot-x: An ai-based virtual assistant for intelligent manufacturing
Chen Li and Hong Ji Yang. 2021 · 2021
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Using ar/vr for technical subjects in vocational training–of substancial benefit or just another technical gimmick?
Birga Stender, Johannes Paehr, and Thomas N Jambor. 2021 · 2021
Cited alongside, same era.
Systematic review of augmented reality training systems
Isidro M Butaslac, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara, and Hirokazu Kato. 2022 · 2022
Cited alongside, same era.
Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
Cited alongside, same era.
Bloom: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al. 2022 · 2022
Cited alongside, same era.
Bringing a natural language-enabled virtual assistant to industrial mobile robots for learning, training and assistance of manufacturing tasks
Chen Li, Andreas Kornmaaler Hansen, Dimitrios Chrysostomou, Simon Bøgh, and Ole Madsen. 2022 · 2022
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Zohaib Jan, Farhad Ahamed, Wolfgang Mayer, Niki Patel, Georg Grossmann, Markus Stumptner, and Ana Kuusk. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, et al. 2023 · 2023
Later among the works it cites.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al. 2023 · 2023
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Cited alongside, same era.
Adaptive virtual assistant for virtual reality-based remote learning
Hannah Sloan, Richard Zhao, Faisal Aqlan, Hui Yang, and Rui Zhu. 2022 · 2022
Cited alongside, same era.
React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
Cited alongside, same era.
From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model
Yingchao You, Ze Ji, Xintong Yang, and Ying Liu. 2022 · 2022
Cited alongside, same era.
Falcon-40B: an open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023 · 2023
Cited alongside, same era.
extended reality of socio-motor interactions: Current trends and ethical considerations for mixed reality environments design
Julia Ayache, Marta Bieńkiewicz, Kathleen Richardson, and Benoit Bardy. 2023 · 2023
Cited alongside, same era.
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al. 2023 · 2023
Cited alongside, same era.
Minigpt-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechu Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, and Mohamed Elhoseiny. 2023 · 2023
Cited alongside, same era.
Amama Mahmood, Junxiang Wang, Bingsheng Yao, Dakuo Wang, and Chien-Ming Huang. 2023 · 2023
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Testing language model agents safely in the wild
Silen Naihin, David Atkinson, Marc Green, Merwane Hamadi, Craig Swift, Douglas Schonholtz, Adam Tauman Kalai, and David Bau. 2023 · 2023
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A comprehensive overview of large language models
Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Nick Barnes, and Ajmal Mian. 2023 · 2023
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Virtual reality training system using an autonomy agent for learning hospitality skills of a retail store
Akimi Oyanagi, Kazuma Aoyama, Kenichiro Ito, Tomohiro Amemiya, and Michitaka Hirose. 2023 · 2023
Later among the works it cites.
Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik R Narasimhan, and Shunyu Yao. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, et al. 2023 · 2023
Later among the works it cites.
Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, and Yong Li. 2023 · 2023
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Dialogstudio: Towards richest and most diverse unified dataset collection for conversational ai
Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Silvio Savarese, and Caiming Xiong. 2023 · 2023
Later among the works it cites.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al. 2023 · 2023
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Integrating large language models and metaverse in autonomous racing: An education-oriented perspective
Bai Li, Xinyuan Li, Yaodong Cui, Xuepeng Bian, Siyu Teng, Siji Ma, Lili Fan, Yonglin Tian, Fei-Yue Wang, et al. 2024 · 2024
Closest in time.
Editable scene simulation for autonomous driving via collaborative llm-agents
Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, and Yanfeng Wang. 2024 · 2024
Closest in time.
TEACh: Task-driven Embodied Agents that Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, and Dilek Hakkani-Tur. 2022 · 2025
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