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The integration of vision-language-action (VLA) models into embodied AI (EAI) robots is rapidly advancing their ability to perform complex, long-horizon tasks in humancentric environments.
Mahalanobis distance
Goeffrey J McLachlan · 1999
Earlier work this paper cites.
Safety of machinery: Positioning of safeguards with respect to the approach speeds of parts of the human body
EN ISO13855 · 2010
Earlier work this paper cites.
Mining requirements from closed-loop control models
Xiaoqing Jin, Alexandre Donzé, Jyotirmoy V Deshmukh, and Sanjit A Seshia · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Robots and robotic devices — collaborative robots
International Organization for Standardization · 2016
Earlier work this paper cites.
Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2016
Earlier work this paper cites.
Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
Earlier work this paper cites.
Countering adversarial images using input transformations
Chuan Guo, Mayank Rana, Moustapha Cisse, and Laurens Van Der Maaten · 2017
Earlier work this paper cites.
Intel realsense stereoscopic depth cameras, 2017
Leonid Keselman, John Iselin Woodfill, Anders Grunnet-Jepsen, and Achintya Bhowmik · 2017
Earlier work this paper cites.
Ai2-thor: An interactive 3d environment for visual ai
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Matt Deitke, Kiana Ehsani, Daniel Gordon, Yuke Zhu, et al · 2017
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Earlier work this paper cites.
Magnet: a two-pronged defense against adversarial examples
Dongyu Meng and Hao Chen · 2017
Earlier work this paper cites.
Mitigating adversarial effects through randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, and Alan Yuille · 2017
Earlier work this paper cites.
Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Yanjun Qi · 2017
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Earlier work this paper cites.
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications
Valeria Villani, Fabio Pini, Francesco Leali, and Cristian Secchi · 2018
Earlier work this paper cites.
Specification mining and robust design under uncertainty: A stochastic temporal logic approach
Panagiotis Kyriakis, Jyotirmoy V Deshmukh, and Paul Bogdan · 2019
Earlier work this paper cites.
Habitat: A platform for embodied ai research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, et al · 2019
Earlier work this paper cites.
Adversarial examples: Attacks and defenses for deep learning
Xiaoyong Yuan, Pan He, Qile Zhu, and Xiaolin Li · 2019
Earlier work this paper cites.
Adversarial machine learning in wireless communications using rf data: A review, 12 2020
Damilola Adesina, Chung-Chu Hsieh, Yalin Sagduyu, and Lijun Qian · 2020
Earlier work this paper cites.
Practical attacks on deep neural networks by memory trojaning
Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, and Yuan Xie · 2020
Earlier work this paper cites.
Rlbench: The robot learning benchmark & learning environment
Stephen James, Zicong Ma, David Rovick Arrojo, and Andrew J Davison · 2020
Earlier work this paper cites.
Spatiotemporal attacks for embodied agents
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J Maybank, and Dacheng Tao · 2020
Earlier work this paper cites.
Hacking the waveform: Generalized wireless adversarial deep learning
Francesco Restuccia, Salvatore D’oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik Roy Chowdhury, Stratis Ioannidis, and Tommaso Melodia · 2020
Earlier work this paper cites.
Sapien: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, et al · 2020
Earlier work this paper cites.
Adversarial examples improve image recognition
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L Yuille, and Quoc V Le · 2020
Earlier work this paper cites.
Safety assurance mechanisms of collaborative robotic systems in manufacturing
Zhu Ming Bi, Chaomin Luo, Zhonghua Miao, Bing Zhang, Wen-Jun Zhang, and Lihui Wang · 2021
Earlier work this paper cites.
Threedworld: A platform for interactive multi-modal physical simulation
Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, et al · 2021
Earlier work this paper cites.
Backdoor attack on deep neural networks triggered by fault injection attack on image sensor interface
Tatsuya Oyama, Shunsuke Okura, Kota Yoshida, and Takeshi Fujino · 2021
Earlier work this paper cites.
Watch-and-help: A challenge for social perception and human-ai collaboration
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B Tenenbaum, Sanja Fidler, and Antonio Torralba · 2021
Earlier work this paper cites.
Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, et al · 2022
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Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks
Oier Mees, Lukas Hermann, Erick Rosete-Beas, and Wolfram Burgard · 2022
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Perceived safety in physical human–robot interaction—a survey
Matteo Rubagotti, Inara Tusseyeva, Sara Baltabayeva, Danna Summers, and Anara Sandygulova · 2022
Cited alongside, same era.
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
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Diffusion policy: Visuomotor policy learning via action diffusion
Depth camera d435, US
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dalu robot, CN
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Adaptive grippers - two-finger gripper, CA
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Danny Driess, Fei Xia, Mehdi SM Sajjadi, Corey Lynch, Aakanksha Chowdhery, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, et al · 2023
Cited alongside, same era.
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Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, and Peter Stone · 2023
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Embodiedgpt: Vision-language pre-training via embodied chain of thought
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, and Ping Luo · 2023
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Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, et al · 2024
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Universal robot 03 arm, DK
Universal Robots · 2024
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Thinking and moving: An efficient computing approach for integrated task and motion planning in cooperative embodied ai systems
Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Zhao, Tushar Krishna, and Arijit Raychowdhury · 2024
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Exploring the adversarial vulnerabilities of vision-language-action models in robotics
Taowen Wang, Cheng Han, James Chenhao Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, and Ruixiang Tang · 2024
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Karma: Augmenting embodied ai agents with long-and-short term memory systems
Zixuan Wang, Bo Yu, Junzhe Zhao, Wenhao Sun, Sai Hou, Shuai Liang, Xing Hu, Yinhe Han, and Yiming Gan · 2024
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How secure are large language models (llms) for navigation in urban environments?
Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, and Yi Fang · 2024
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On the safety concerns of deploying llms/vlms in robotics: Highlighting the risks and vulnerabilities
Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M Sadler, Dinesh Manocha, and Amrit Bedi · 2024
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Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, and Jian Tang · 2024
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Robomm: All-in-one multimodal large model for robotic manipulation
Feng Yan, Fanfan Liu, Liming Zheng, Yufeng Zhong, Yiyang Huang, Zechao Guan, Chengjian Feng, and Lin Ma · 2024
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Safeagentbench: A benchmark for safe task planning of embodied llm agents
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Badrobot: Manipulating embodied llms in the physical world
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Building cooperative embodied agents modularly with large language models
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B Tenenbaum, Tianmin Shu, and Chuang Gan · 2024
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Vlabench: A large-scale benchmark for language-conditioned robotics manipulation with long-horizon reasoning tasks, 2024
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Wenxiao Zhang, Xiangrui Kong, Thomas Braunl, and Jin B Hong · 2024
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