Ken Goldberg

Active 1988–2026

410
Papers
19,658
Citations
69
h-index
246
i10-index

Citations

Citations per year for Ken Goldberg1986: 2 citations1988: 1 citations1989: 2 citations1990: 3 citations1991: 4 citations1992: 10 citations1993: 11 citations1994: 18 citations1995: 23 citations1996: 24 citations1997: 25 citations1998: 31 citations1999: 34 citations2000: 58 citations2001: 47 citations2002: 44 citations2003: 59 citations2004: 47 citations2005: 60 citations2006: 61 citations2007: 58 citations2008: 73 citations2009: 65 citations2010: 60 citations2011: 67 citations2012: 79 citations2013: 123 citations2014: 171 citations2015: 245 citations2016: 332 citations2017: 399 citations2018: 645 citations2019: 909 citations2020: 1,222 citations2021: 1,413 citations2022: 1,120 citations2023: 1,246 citations2024: 1,223 citations2025: 1,475 citations2026: 604 citations1987: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,120 citing papers, 29.8% of this breakdownChina: 1,466 citing papers, 14% of this breakdownGermany: 605 citing papers, 5.8% of this breakdownUnited Kingdom: 592 citing papers, 5.7% of this breakdownJapan: 439 citing papers, 4.2% of this breakdownCanada: 369 citing papers, 3.5% of this breakdownItaly: 325 citing papers, 3.1% of this breakdownHong Kong: 264 citing papers, 2.5% of this breakdownSouth Korea: 262 citing papers, 2.5% of this breakdownFrance: 219 citing papers, 2.1% of this breakdownAustralia: 206 citing papers, 2% of this breakdownNetherlands: 206 citing papers, 2% of this breakdown
0%29.8%Other 22.8%

Fields

  • Engineering45.8%
  • Computer Science39.8%
  • Medicine3.9%
  • Decision Sciences2%
  • Psychology1.5%
  • Social Sciences1.5%
  • Other5.5%

Topics

  • Robot Manipulation and Learning11.9%
  • Robotic Path Planning Algorithms5.9%
  • Reinforcement Learning in Robotics4.8%
  • Soft Robotics and Applications4.7%
  • Robotics and Sensor-Based Localization4%
  • Modular Robots and Swarm Intelligence2.7%
  • Other66%

Coauthors

All papers

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  1. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kyle Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Walke, Blake Wulfe, Ted Xiao, Jonathan Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, Guizilini, Vitor, David Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Irshad, Muhammad Zubair, Donovon Jackson, Charlotte Le, Yunshuang Li, Kevin Lin, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O’Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine and 1 more - arXiv (Cornell University), CoRR 2024 cited by 522

  2. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

    Authors: , , , , , , , - Robotics: Science and Systems XIII 2017 cited by 1,166

  3. Motion planning with sequential convex optimization and convex collision checking

    Authors: , , , , , , , , , - The International Journal of Robotics Research, Int. J. Robotics Res. 2014 cited by 844

  4. Learning ambidextrous robot grasping policies

    Authors: , , , , , , - Science Robotics, Sci. Robotics 2019 cited by 578

  5. DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn - Robotics: Science and Systems XX 2024 cited by 116

  6. Sim2Real in Robotics and Automation: Applications and Challenges

    Authors: , , , , , , , , , , , , , , - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2021 cited by 153

  7. A Survey of Research on Cloud Robotics and Automation

    Authors: , , , - IEEE Transactions on Automation Science and Engineering, IEEE Trans Autom. Sci. Eng. 2015 cited by 828

  8. Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning

    Authors: , , , , , - IEEE International Conference on Robotics and Automation (ICRA) 2018 cited by 327

  9. SpeedFolding: Learning Efficient Bimanual Folding of Garments

    Authors: , , , , - IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 cited by 88

  10. In-Context Imitation Learning via Next-Token Prediction

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 46

  11. A Touch, Vision, and Language Dataset for Multimodal Alignment

    Authors: , , , , , , , , , - ICML 2024 cited by 112

  12. Ray RLLib: A Composable and Scalable Reinforcement Learning Library

    Authors: , , , , , , , , - International Conference on Machine Learning, ICML 2018 cited by 1,044

  13. Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects

    Authors: , , , - CoRL 2021 cited by 81

  14. OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction

    Authors: , , , , , , , - ICML 2025 cited by 51

  15. Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

    Authors: , , , , , , , , , - IEEE International Conference on Robotics and Automation (ICRA) 2016 cited by 375

  16. Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces

    Authors: , , , , , , - Robotics: Science and Systems XIX 2023 cited by 37

  17. Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation

    Authors: , , , , , , , , , , , , , , - Robotics: Science and Systems XXI 2025 cited by 32

  18. Combating COVID-19 - The role of robotics in managing public health and infectious diseases

    Authors: , , , , , , , , , , , , - Science Robotics, Sci. Robotics 2020 cited by 568

  19. LERF: Language Embedded Radiance Fields

    Authors: , , , , - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 cited by 293

  20. DayDreamer: World Models for Physical Robot Learning

    Authors: , , , , - CoRL 2022 cited by 65

  21. ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

    Authors: , , , , , - Annual Conference on Robot Learning, CoRL 2021 cited by 51

  22. RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning

    Authors: , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 30

  23. Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets

    Authors: , , , , - ArXiv.org, CoRR 2025 cited by 29

  24. Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning

    Authors: , , , , , - IEEE International Conference on Robotics and Automation (ICRA) 2017 cited by 160