Search Results - "Varley, Jake"

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  1. 1

    Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning by Ganapathi, Aditya, Florence, Pete, Varley, Jake, Burns, Kaylee, Goldberg, Ken, Zeng, Andy

    “…Action representation is an important yet often overlooked aspect in end-to-end robot learning with deep networks. Choosing one action space over another (e.g…”
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    Conference Proceeding
  2. 2

    Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning by Brandfonbrener, David, Tu, Stephen, Singh, Avi, Welker, Stefan, Boodoo, Chad, Matni, Nikolai, Varley, Jake

    “…We consider how to most efficiently leverage teleoperator time to collect data for learning robust image-based value functions and policies for sparse reward…”
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    Conference Proceeding
  3. 3

    Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity by Varley, Jake, Singh, Sumeet, Jain, Deepali, Choromanski, Krzysztof, Zeng, Andy, Chowdhury, Somnath Basu Roy, Dubey, Avinava, Sindhwani, Vikas

    Published 04-04-2024
    “…We present an embodied AI system which receives open-ended natural language instructions from a human, and controls two arms to collaboratively accomplish…”
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    Journal Article
  4. 4

    Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning by Brandfonbrener, David, Tu, Stephen, Singh, Avi, Welker, Stefan, Boodoo, Chad, Matni, Nikolai, Varley, Jake

    Published 05-10-2022
    “…We consider how to most efficiently leverage teleoperator time to collect data for learning robust image-based value functions and policies for sparse reward…”
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    Journal Article
  5. 5

    Teleoperator Imitation with Continuous-time Safety by Khadir, Bachir El, Varley, Jake, Sindhwani, Vikas

    Published 23-05-2019
    “…Learning to effectively imitate human teleoperators, with generalization to unseen and dynamic environments, is a promising path to greater autonomy enabling…”
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    Journal Article
  6. 6

    SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention by Leal, Isabel, Choromanski, Krzysztof, Jain, Deepali, Dubey, Avinava, Varley, Jake, Ryoo, Michael, Lu, Yao, Liu, Frederick, Sindhwani, Vikas, Vuong, Quan, Sarlos, Tamas, Oslund, Ken, Hausman, Karol, Rao, Kanishka

    “…We present Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT): a new paradigm for addressing the emerging challenge of scaling up Robotics…”
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    Conference Proceeding
  7. 7

    Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning by Ganapathi, Aditya, Florence, Pete, Varley, Jake, Burns, Kaylee, Goldberg, Ken, Zeng, Andy

    Published 03-03-2022
    “…Action representation is an important yet often overlooked aspect in end-to-end robot learning with deep networks. Choosing one action space over another (e.g…”
    Get full text
    Journal Article
  8. 8

    SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention by Leal, Isabel, Choromanski, Krzysztof, Jain, Deepali, Dubey, Avinava, Varley, Jake, Ryoo, Michael, Lu, Yao, Liu, Frederick, Sindhwani, Vikas, Vuong, Quan, Sarlos, Tamas, Oslund, Ken, Hausman, Karol, Rao, Kanishka

    Published 04-12-2023
    “…We present Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT): a new paradigm for addressing the emerging challenge of scaling up Robotics…”
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    Journal Article
  9. 9
  10. 10

    Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners by Ren, Allen Z, Dixit, Anushri, Bodrova, Alexandra, Singh, Sumeet, Tu, Stephen, Brown, Noah, Xu, Peng, Takayama, Leila, Xia, Fei, Varley, Jake, Xu, Zhenjia, Sadigh, Dorsa, Zeng, Andy, Majumdar, Anirudha

    Published 04-07-2023
    “…Large language models (LLMs) exhibit a wide range of promising capabilities -- from step-by-step planning to commonsense reasoning -- that may provide utility…”
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    Journal Article
  11. 11

    Task level hierarchical system for BCI-enabled shared autonomy by Akinola, Iretiayo, Boyuan Chen, Koss, Jonathan, Patankar, Aalhad, Varley, Jake, Allen, Peter

    “…This paper describes a novel hierarchical system for shared control of a humanoid robot. Our framework uses a low-bandwidth Brain Computer Interface (BCI) to…”
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    Conference Proceeding
  12. 12

    Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation by Xiao, Xuesu, Zhang, Tingnan, Choromanski, Krzysztof, Lee, Edward, Francis, Anthony, Varley, Jake, Tu, Stephen, Singh, Sumeet, Xu, Peng, Xia, Fei, Persson, Sven Mikael, Kalashnikov, Dmitry, Takayama, Leila, Frostig, Roy, Tan, Jie, Parada, Carolina, Sindhwani, Vikas

    Published 22-09-2022
    “…Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, e.g., in cluttered home environments or in…”
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    Journal Article
  13. 13

    Hybrid Random Features by Choromanski, Krzysztof, Chen, Haoxian, Lin, Han, Ma, Yuanzhe, Sehanobish, Arijit, Jain, Deepali, Ryoo, Michael S, Varley, Jake, Zeng, Andy, Likhosherstov, Valerii, Kalashnikov, Dmitry, Sindhwani, Vikas, Weller, Adrian

    Published 08-10-2021
    “…We propose a new class of random feature methods for linearizing softmax and Gaussian kernels called hybrid random features (HRFs) that automatically adapt the…”
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    Journal Article
  14. 14

    Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills by Chebotar, Yevgen, Hausman, Karol, Lu, Yao, Xiao, Ted, Kalashnikov, Dmitry, Varley, Jake, Irpan, Alex, Eysenbach, Benjamin, Julian, Ryan, Finn, Chelsea, Levine, Sergey

    Published 15-04-2021
    “…We consider the problem of learning useful robotic skills from previously collected offline data without access to manually specified rewards or additional…”
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    Journal Article
  15. 15

    Time Dependence in Non-Autonomous Neural ODEs by Davis, Jared Quincy, Choromanski, Krzysztof, Varley, Jake, Lee, Honglak, Slotine, Jean-Jacques, Likhosterov, Valerii, Weller, Adrian, Makadia, Ameesh, Sindhwani, Vikas

    Published 04-05-2020
    “…Neural Ordinary Differential Equations (ODEs) are elegant reinterpretations of deep networks where continuous time can replace the discrete notion of depth,…”
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    Journal Article