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Until recently, robotics safety research was predominantly about collision avoidance and hazard reduction in the immediate vicinity of a robot.
Runaround , 1942
Isaac Asimov · 1942
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The problem of abortion and the doctrine of double effect
Philippa Foot · 1967
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The reinterpretation of dreams: An evolutionary hypothesis of the function of dreaming
Antti Revonsuo · 2000
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Isaac asimov’s laws of robotics are wrong
Peter W. Singer · 2009
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ISO 10218: Robots and Robotic Devices : Safety Requirements for Industrial Robots
ISO · 2011
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Ansi/ria r15.06-2012: Safety requirements for industrial robots and robot systems, 2012
RIA · 2012
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Superintelligence: Paths, Dangers, Strategies
Nick Bostrom · 2014
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Concrete problems in ai safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané · 2016
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Should we fear supersmart robots
Stuart Russell · 2016
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Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
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Active preference-based learning of reward functions
Dorsa Sadigh, Anca Dragan, Shankar Sastry, and Sanjit Seshia · 2017
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Batch active preference-based learning of reward functions
Erdem Biyik and Dorsa Sadigh · 2018
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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The alignment problem: How can machines learn human values?
Brian Christian · 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, et al · 2022
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Robots enact malignant stereotypes
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, and Matthew Gombolay · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Socratic models: Composing zero-shot multimodal reasoning with language
Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, et al · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
Cited alongside, same era.
Zero-shot robotic manipulation with pretrained image-editing diffusion models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, and Sergey Levine · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
Cited alongside, same era.
Open problems and fundamental limitations of reinforcement learning from human feedback
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, et al · 2023
Cited alongside, same era.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al · 2024
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Inverse preference learning: Preference-based rl without a reward function
Joey Hejna and Dorsa Sadigh · 2024
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Collective constitutional ai: Aligning a language model with public input
Saffron Huang, Divya Siddarth, Liane Lovitt, Thomas I Liao, Esin Durmus, Alex Tamkin, and Deep Ganguli · 2024
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Openvla: An open-source vision-language-action model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, et al · 2024
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Risk-calibrated human-robot interaction via set-valued intent prediction
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Palm-e: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi SM Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, et al · 2023
Cited alongside, same era.
Semantic anomaly detection with large language models
Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa AD Nesnas, and Marco Pavone · 2023
Cited alongside, same era.
Foundation models in robotics: Applications, challenges, and the future
Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, et al · 2023
Cited alongside, same era.
Rt-trajectory: Robotic task generalization via hindsight trajectory sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, et al · 2023
Cited alongside, same era.
Few-shot preference learning for human-in-the-loop rl
Donald Joseph Hejna III and Dorsa Sadigh · 2023
Cited alongside, same era.
Ai alignment: A comprehensive survey
Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, et al · 2023
Cited alongside, same era.
Vima: General robot manipulation with multimodal prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, and Linxi Fan · 2023
Cited alongside, same era.
Dall-e-bot: Introducing web-scale diffusion models to robotics
Ivan Kapelyukh, Vitalis Vosylius, and Edward Johns · 2023
Cited alongside, same era.
Justin Lidard, Hang Pham, Ariel Bachman, Bryan Boateng, and Anirudha Majumdar · 2024
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Pivot: Iterative visual prompting elicits actionable knowledge for vlms
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, and Brian Ichter · 2024
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National Electronic Injury Surveillance System - All Injury Program (NEISS-AIP)
NEISS · 2024
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Constitutionalexperts: Training a mixture of principle-based prompts, 2024
Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, and Nithum Thain · 2024
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn · 2024
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Jailbreaking llm-controlled robots
Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, and George J. Pappas · 2024
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Updating robot safety representations online from natural language feedback
Leonardo Santos, Zirui Li, Lasse Peters, Somil Bansal, and Andrea Bajcsy · 2024
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Robovqa: Multimodal long-horizon reasoning for robotics
Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, and Yuan Cao · 2024
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Real-time anomaly detection and reactive planning with large language models
Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, and Marco Pavone · 2024
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Embodied ai with two arms: Zero-shot learning, safety and modularity
Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, and Vikas Sindhwani · 2024
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Self-rewarding language models, 2024
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, and Jason Weston · 2024
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Predictive red teaming: Breaking policies without breaking robots
Anirudha Majumdar, Mohit Sharma, Dmitry Kalashnikov, Sumeet Singh, Pierre Sermanet, and Vikas Sindhwani · 2025
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Scifi-benchmark: How would ai-powered robots behave in science fiction literature?
Pierre Sermanet, Anirudha Majumdar, and Vikas Sindhwani · 2025
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Ago, Ergo Sum (I Act, Therefore I Am) , chapter 11
Vincent Vanhoucke · 2025
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