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Natural-language dialog is key for intuitive human-robot interaction.
Object-Action Complexes: Grounded Abstractions of Sensorimotor Processes
Norbert Krüger, Christopher Geib, Justus Piater, Ronald Petrick, Mark Steedman, Florentin Wörgötter, Aleš Ude, Tamim Asfour, Dirk Kraft, Damir Omrčen, Alejandro Agostini, and Rüdiger Dillmann · 2011
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Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth Teller, and Nicholas Roy · 2011
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Using semantic fields to model dynamic spatial relations in a robot architecture for natural language instruction of service robots
Juan Fasola and Maja J Matarić · 2013
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Grounding Spatial Relations for Human-Robot Interaction
Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Göhring, Yangqing Jia, Dan Klein, Pieter Abbeel, and Trevor Darrell · 2013
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Learning semantic maps from natural language descriptions
Matt Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, and Seth Teller · 2013
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Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction
Shiwali Mohan and John Laird · 2014
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Robot Programming by Demonstration with Situated Spatial Language Understanding
Maxwell Forbes, Rajesh Rao, Luke Zettlemoyer, and Maya Cakmak · 2015
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Simtrack: A simulation-based framework for scalable real-time object pose detection and tracking
Karl Pauwels and Danica Kragic · 2015
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The robot software framework ArmarX
Nikolaus Vahrenkamp, Mirko Wächter, Manfred Kröhnert, Kai Welke, and Tamim Asfour · 2015
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Teach robots understanding new object types and attributes through natural language instructions
Jiatong Bao, Ze Hong, Hongru Tang, Yu Cheng, Yunyi Jia, and Ning Xi · 2016
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Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions
Dipendra K. Misra, Jaeyong Sung, Kevin Lee, and Ashutosh Saxena · 2016
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ARMAR-6: A Collaborative Humanoid Robot for Industrial Environments
Tamim Asfour, Lukas Kaul, Mirko Wächter, Simon Ottenhaus, Pascal Weiner, Samuel Rader, Raphael Grimm, You Zhou, Markus Grotz, Fabian Paus, Dmitriy Shingarey, and Hans Haubert · 2018
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Learning of Complex-Structured Tasks from Verbal Instruction
Monica Nicolescu, Natalie Arnold, Janelle Blankenburg, David Feil-Seifer, Santosh Balajee Banisetty, Mircea Nicolescu, Andrew Palmer, and Thor Monteverde · 2019
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Sentence-BERT: Sentence embeddings using siamese BERT-networks
Nils Reimers and Iryna Gurevych · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, et al · 2020
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DeComplex: Task planning from complex natural instructions by a collocating robot
Pradip Pramanick, Hrishav Bakul Barua, and Chayan Sarkar · 2020
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INGRESS: Interactive visual grounding of referring expressions
Mohit Shridhar, Dixant Mittal, and David Hsu · 2020
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Robots That Use Language: A Survey
Stefanie Tellex, Nakul Gopalan, Hadas Kress-Gazit, and Cynthia Matuszek · 2020
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Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding
Sebastian Weigelt, Vanessa Steurer, Tobias Hey, and Walter F. Tichy · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, et al · 2021
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Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, et al · 2022
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Towards teachable reasoning systems: Using a dynamic memory of user feedback for continual system improvement
Bhavana Dalvi Mishra, Oyvind Tafjord, and Peter Clark · 2022
Cited alongside, same era.
Code generation using machine learning: A systematic review
Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt, and Wannes Meert · 2022
Cited alongside, same era.
CodeRL: Mastering code generation through pretrained models and deep reinforcement learning
Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, and Steven Chu Hong Hoi · 2022
Cited alongside, same era.
What makes good in-context examples for GPT-3?
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, and Weizhu Chen · 2022
Cited alongside, same era.
Language models of code are few-shot commonsense learners
Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, and Graham Neubig · 2022
Cited alongside, same era.
A memory system of a robot cognitive architecture and its implementation in ArmarX
Fabian Peller-Konrad, Rainer Kartmann, Christian R. G. Dreher, Andre Meixner, Fabian Reister, Markus Grotz, and Tamim Asfour · 2023
Closest in time.
Tool learning with foundation models
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, et al · 2023
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Robots that ask for help: Uncertainty alignment for large language model planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, and Anirudha Majumdar · 2023
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Open-ended instructable embodied agents with memory-augmented large language models
Gabriel Sarch, Yue Wu, Michael Tarr, and Katerina Fragkiadaki · 2023
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ProgPrompt: Generating situated robot task plans using large language models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, and Animesh Garg · 2023
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Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, et al · 2022
Cited alongside, same era.
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
Cited alongside, same era.
TALM: Tool augmented language models
Aaron Parisi, Yao Zhao, and Noah Fiedel · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Cited alongside, same era.
Source-code generation using deep learning: A survey
Areeg Ahmed, Shahira Azab, and Yasser Abdelhamid · 2023
Cited alongside, same era.
Code-chat (Google VertexAI), 2023
Google · 2023
Cited alongside, same era.
Language models can teach themselves to program better
Patrick Haluptzok, Matthew Bowers, and Adam Tauman Kalai · 2023
Cited alongside, same era.
Closest in time.
Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach, Zhi Ji, Lasse Bjørn Kristensen, Kourosh Darvish, Alán Aspuru-Guzik, Florian Shkurti, and Animesh Garg · 2023
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LLM-planner: Few-shot grounded planning for embodied agents with large language models
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, and Yu Su · 2023
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LLaMA: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, et al · 2023
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ChatGPT for robotics: Design principles and model abilities, 2023
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor · 2023
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ChatGPT empowered long-step robot control in various environments: A case application, 2023
Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, and Katsushi Ikeuchi · 2023
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A review on code generation with LLMs: Application and evaluation
Jianxun Wang and Yixiang Chen · 2023
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Interactive natural language processing
Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, et al · 2023
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TidyBot: Personalized robot assistance with large language models
Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, and Thomas Funkhouser · 2023
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InterCode: Standardizing and benchmarking interactive coding with execution feedback
John Yang, Akshara Prabhakar, Karthik Narasimhan, and Shunyu Yao · 2023
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ReAct: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, and Yuan Cao · 2023
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Compositional exemplars for in-context learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, and Lingpeng Kong · 2023
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Socratic models: Composing zero-shot multimodal reasoning with language
Andy Zeng, Maria Attarian, brian ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, and Pete Florence · 2023
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Distilling and retrieving generalizable knowledge for robot manipulation via language corrections
Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, and Dorsa Sadigh · 2023
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AgentBench: Evaluating LLMs as agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, and Jie Tang · 2024
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If LLM is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents
Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Heng Ji, and ChengXiang Zhai · 2024
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A survey of large language models for code: Evolution, benchmarking, and future trends
Zibin Zheng, Kaiwen Ning, Yanlin Wang, Jingwen Zhang, Dewu Zheng, Mingxi Ye, and Jiachi Chen · 2024
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