Fetching the paper…
Reading the bibliography…
Recently in robotics, Vision-Language-Action (VLA) models have emerged as a transformative approach, enabling robots to execute complex tasks by integrating visual and linguistic inputs within an end-to-end learning framework.
Design of a low cost, general purpose robot
Michael H. Smith and L. Stephen Coles · 1973
Earlier work this paper cites.
Rule-based control for a flexible-link robot
Vivek G Moudgal, Kevin M Passino, and Stephen Yurkovich · 1994
Earlier work this paper cites.
A mathematical introduction to robotics manipulation
Richard M. Murray, Zexiang Li, and S. Shankar Sastry · 1994
Earlier work this paper cites.
Mechanics of Robotic Manipulation
Matthew T. Mason · 2001
Earlier work this paper cites.
Reliability and availability analysis of a robot-safety system
Shen Cheng and BS Dhillon · 2011
Earlier work this paper cites.
Robots and Robotic Devices Safety Requirements for Industrial Robots Part 1: Robots/Part 2: Robot Systems and Integration
ISO 10218-1/2:2011 · 2011
Earlier work this paper cites.
A projection-based sensor system for safe physical human-robot collaboration
Christian Vogel, Christoph Walter, and Norbert Elkmann · 2013
Earlier work this paper cites.
Robots and robotic devices — safety requirements for personal care robots
ISO13482 · 2014
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M. Roy · 2016
Earlier work this paper cites.
Robots and Robotic Devices Collaborative Robots
ISO/TS 15066:2016 · 2016
Earlier work this paper cites.
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Lerrel Pinto and Abhinav Gupta · 2016
Earlier work this paper cites.
Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2016
Earlier work this paper cites.
Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David A. Wagner · 2017
Earlier work this paper cites.
One-shot visual imitation learning via meta-learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, and Sergey Levine · 2017
Earlier work this paper cites.
Deliberation for autonomous robots: A survey
Félix Ingrand and Malik Ghallab · 2017
Earlier work this paper cites.
Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gil mer · 2018
Earlier work this paper cites.
Task-embedded control networks for few-shot imitation learning
Stephen James, Michael Bloesch, and Andrew J. Davison · 2018
Earlier work this paper cites.
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
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.
Toward robotic manipulation
Matthew T. Mason · 2018
Cited alongside, same era.
Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Yanjun Qi · 2018
Cited alongside, same era.
Trends and challenges in robot manipulation
Aude Billard and Danica Kragic · 2019
Cited alongside, same era.
Dynamics and control of robotic systems
Andrew J Kurdila and Pinhas Ben-Tzvi · 2019
Cited alongside, same era.
Perceptual-sensitive GAN for generating adversarial patches
Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, and Dacheng Tao · 2019
Cited alongside, same era.
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, and Kouichi Sakurai · 2019
Cited alongside, same era.
Pali-3 vision language models: Smaller, faster, stronger
Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, et al · 2023
Later among the works it cites.
Vision-language foundation models as effective robot imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, et al · 2023
Later among the works it cites.
LIBERO: benchmarking knowledge transfer for lifelong robot learning
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, and Peter Stone · 2023
Later among the works it cites.
Bridgedata V2: A dataset for robot learning at scale
Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, and Sergey Levine · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
advpattern: Physical-world attacks on deep person re-identification via adversarially transformable patterns
Zhibo Wang, Siyan Zheng, Mengkai Song, Qian Wang, Alireza Rahimpour, and Hairong Qi · 2019
Cited alongside, same era.
Defending against whitebox adversarial attacks via randomized discretization
Yuchen Zhang and Percy Liang · 2019
Cited alongside, same era.
Skew-fit: State-covering self-supervised reinforcement learning
Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, and Sergey Levine · 2020
Cited alongside, same era.
On adaptive attacks to adversarial example defenses
Florian Tramèr, Nicholas Carlini, Wieland Brendel, and Aleksander Madry · 2020
Cited alongside, same era.
Adversarial t-shirt! evading person detectors in a physical world
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, and Xue Lin · 2020
Cited alongside, same era.
Toward next-generation learned robot manipulation
Jinda Cui and Jeff Trinkle · 2021
Cited alongside, same era.
Bo Zhao, Boya Wu, Muyang He, and Tiejun Huang · 2023
Later among the works it cites.
Reinforcement learning algorithms and applications in healthcare and robotics: A comprehensive and systematic review
Mokhaled NA Al-Hamadani, Mohammed A Fadhel, Laith Alzubaidi, and Balazs Harangi · 2024
Closest in time.
Self-supervised adversarial training of monocular depth estimation against physical-world attacks
Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, and Dongfang Liu · 2024
Closest in time.
Mobility vla: Multimodal instruction navigation with long-context vlms and topological graphs
Hao-Tien Lewis Chiang, Zhuo Xu, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, et al · 2024
Closest in time.
Collaborative multi-task learning for multi-object tracking and segmentation
Yiming Cui, Cheng Han, and Dongfang Liu · 2024
Closest in time.
Prismatic vlms: Investigating the design space of visually-conditioned language models
Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna, Percy Liang, Thomas Kollar, and Dorsa Sadigh · 2024
Closest in time.
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, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, and Chelsea Finn · 2024
Closest in time.
Llara: Supercharging robot learning data for vision-language policy
Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, and Michael S. Ryoo · 2024
Closest in time.
Visual adversarial examples jailbreak aligned large language models
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, and Prateek Mittal · 2024
Closest in time.
Deep reinforcement learning for robotics: A survey of real-world successes
Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, and Peter Stone · 2024
Closest in time.
Octo: An open-source generalist robot policy
Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, and Sergey Levine · 2024
Closest in time.
Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation
Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, et al · 2024
Closest in time.
Finch (film) — Wikipedia, the free encyclopedia
Wikipedia contributors · 2024
Closest in time.
Adversarial attacks on multimodal agents
Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, and Aditi Raghunathan · 2024
Closest in time.
Vision-flan: Scaling human-labeled tasks in visual instruction tuning
Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, and Lifu Huang · 2024
Closest in time.
Quar-vla: Vision-language-action model for quadruped robots
Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, and Donglin Wang · 2025
Closest in time.