Search Results - "Undersander, Eric"

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  1. 1

    Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale by Ramrakhya, Ram, Undersander, Eric, Batra, Dhruv, Das, Abhishek

    “…We present a large-scale study of imitating human demonstrations on tasks that require a virtual robot to search for objects in new environments - (1)…”
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    Conference Proceeding
  2. 2

    Efficient and Interpretable Robot Manipulation With Graph Neural Networks by Lin, Yixin, Wang, Austin S., Undersander, Eric, Rai, Akshara

    Published in IEEE robotics and automation letters (01-04-2022)
    “…Manipulation tasks, like loading a dishwasher, can be seen as a sequence of spatial constraints and relationships between different objects. We aim to discover…”
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    Journal Article
  3. 3

    ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation by Yokoyama, Naoki, Clegg, Alex, Truong, Joanne, Undersander, Eric, Yang, Tsung-Yen, Arnaud, Sergio, Ha, Sehoon, Batra, Dhruv, Rai, Akshara

    Published in IEEE robotics and automation letters (01-01-2024)
    “…We present Adaptive Skill Coordination (ASC) - an approach for accomplishing long-horizon tasks like mobile pick-and-place ( i.e. , navigating to an object,…”
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    Journal Article
  4. 4

    Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second by Berges, Vincent-Pierre, Szot, Andrew, Chaplot, Devendra Singh, Gokaslan, Aaron, Mottaghi, Roozbeh, Batra, Dhruv, Undersander, Eric

    “…We present Galactic, a large-scale simulation and reinforcement-learning (RL) framework for robotic mobile manipulation in indoor environments. Specifically, a…”
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    Conference Proceeding
  5. 5

    Transformers are Adaptable Task Planners by Jain, Vidhi, Lin, Yixin, Undersander, Eric, Bisk, Yonatan, Rai, Akshara

    Published 06-07-2022
    “…Every home is different, and every person likes things done in their particular way. Therefore, home robots of the future need to both reason about the…”
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    Journal Article
  6. 6

    Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale by Ramrakhya, Ram, Undersander, Eric, Batra, Dhruv, Das, Abhishek

    Published 07-04-2022
    “…We present a large-scale study of imitating human demonstrations on tasks that require a virtual robot to search for objects in new environments -- (1)…”
    Get full text
    Journal Article
  7. 7

    Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second by Berges, Vincent-Pierre, Szot, Andrew, Chaplot, Devendra Singh, Gokaslan, Aaron, Mottaghi, Roozbeh, Batra, Dhruv, Undersander, Eric

    Published 13-06-2023
    “…We present Galactic, a large-scale simulation and reinforcement-learning (RL) framework for robotic mobile manipulation in indoor environments. Specifically, a…”
    Get full text
    Journal Article
  8. 8

    Efficient and Interpretable Robot Manipulation with Graph Neural Networks by Lin, Yixin, Wang, Austin S, Undersander, Eric, Rai, Akshara

    Published 25-02-2021
    “…Manipulation tasks, like loading a dishwasher, can be seen as a sequence of spatial constraints and relationships between different objects. We aim to discover…”
    Get full text
    Journal Article
  9. 9

    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation by Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Shacklett, Brennan, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X., Savva, Manolis

    “…We contribute the Habitat Synthetic Scenes Dataset (HSSD-200), a dataset of 211 high-quality 3D scenes, and use it to test navigation agent generalization to…”
    Get full text
    Conference Proceeding
  10. 10

    ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation by Yokoyama, Naoki, Clegg, Alex, Truong, Joanne, Undersander, Eric, Yang, Tsung-Yen, Arnaud, Sergio, Ha, Sehoon, Batra, Dhruv, Rai, Akshara

    Published 01-04-2023
    “…We present Adaptive Skill Coordination (ASC) -- an approach for accomplishing long-horizon tasks like mobile pick-and-place (i.e., navigating to an object,…”
    Get full text
    Journal Article
  11. 11

    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation by Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Shacklett, Brennan, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X, Savva, Manolis

    Published 20-06-2023
    “…We contribute the Habitat Synthetic Scene Dataset, a dataset of 211 high-quality 3D scenes, and use it to test navigation agent generalization to realistic 3D…”
    Get full text
    Journal Article
  12. 12

    Block-Sparse Recurrent Neural Networks by Narang, Sharan, Undersander, Eric, Diamos, Gregory

    Published 07-11-2017
    “…Recurrent Neural Networks (RNNs) are used in state-of-the-art models in domains such as speech recognition, machine translation, and language modelling…”
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    Journal Article
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    Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI by Ramakrishnan, Santhosh K, Gokaslan, Aaron, Wijmans, Erik, Maksymets, Oleksandr, Clegg, Alex, Turner, John, Undersander, Eric, Galuba, Wojciech, Westbury, Andrew, Chang, Angel X, Savva, Manolis, Zhao, Yili, Batra, Dhruv

    Published 16-09-2021
    “…We present the Habitat-Matterport 3D (HM3D) dataset. HM3D is a large-scale dataset of 1,000 building-scale 3D reconstructions from a diverse set of real-world…”
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    Journal Article
  16. 16