Výsledky vyhledávání - Data Sets for Robot Learning

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  1. 1

    Interactive Language: Talking to Robots in Real Time Autor Lynch, Corey, Wahid, Ayzaan, Tompson, Jonathan, Ding, Tianli, Betker, James, Baruch, Robert, Armstrong, Travis, Florence, Pete

    ISSN: 2377-3766, 2377-3766
    Vydáno: IEEE 2024
    “…We present a framework for building interactive, real-time, natural language-instructable robots in the real world, and we open source related assets…”
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    Journal Article
  2. 2

    DSEC: A Stereo Event Camera Dataset for Driving Scenarios Autor Gehrig, Mathias, Aarents, Willem, Gehrig, Daniel, Scaramuzza, Davide

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.07.2021
    Vydáno v IEEE robotics and automation letters (01.07.2021)
    “… To address these challenges, we propose, DSEC, a new dataset that contains such demanding illumination conditions and provides a rich set of sensory data…”
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    Journal Article
  3. 3

    CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Autor Mees, Oier, Hermann, Lukas, Rosete-Beas, Erick, Burgard, Wolfram Burgard

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.07.2022
    Vydáno v IEEE robotics and automation letters (01.07.2022)
    “…General-purpose robots coexisting with humans in their environment must learn to relate human language to their perceptions and actions to be useful in a range of daily tasks…”
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    Journal Article
  4. 4

    OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition Autor Ma, Junyi, Zhang, Jun, Xu, Jintao, Ai, Rui, Gu, Weihao, Chen, Xieyuanli

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.07.2022
    Vydáno v IEEE robotics and automation letters (01.07.2022)
    “…Place recognition is an important capability for autonomously navigating vehicles operating in complex environments and under changing conditions. It is a key…”
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    Journal Article
  5. 5

    HAPTR2: Improved Haptic Transformer for legged robots’ terrain classification Autor Bednarek, Michał, Nowicki, Michał R., Walas, Krzysztof

    ISSN: 0921-8890, 1872-793X
    Vydáno: Elsevier B.V 01.12.2022
    Vydáno v Robotics and autonomous systems (01.12.2022)
    “…The haptic terrain classification is an essential component of a mobile walking robot control system, ensuring proper gait adaptation to the changing environmental conditions…”
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    Journal Article
  6. 6

    Generation of GelSight Tactile Images for Sim2Real Learning Autor Gomes, Daniel Fernandes, Paoletti, Paolo, Luo, Shan

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.04.2021
    Vydáno v IEEE robotics and automation letters (01.04.2021)
    “…Most current works in Sim2Real learning for robotic manipulation tasks leverage camera vision that may be significantly occluded by robot hands during the manipulation…”
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    Journal Article
  7. 7

    VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM Autor Gao, Ling, Liang, Yuxuan, Yang, Jiaqi, Wu, Shaoxun, Wang, Chenyu, Chen, Jiaben, Kneip, Laurent

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.07.2022
    Vydáno v IEEE robotics and automation letters (01.07.2022)
    “… Our contribution is the first complete set of benchmark datasets captured with a multi-sensor setup containing an event-based stereo camera, a regular stereo camera, multiple depth sensors…”
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    Journal Article
  8. 8

    MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets Autor Chamzas, Constantinos, Quintero-Pena, Carlos, Kingston, Zachary, Orthey, Andreas, Rakita, Daniel, Gleicher, Michael, Toussaint, Marc, Kavraki, Lydia E.

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.04.2022
    Vydáno v IEEE robotics and automation letters (01.04.2022)
    “… other state-of-the-art planners. We present MotionBenchMaker , an open-source tool to generate benchmarking datasets for realistic robot manipulation problems…”
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    Journal Article
  9. 9

    LEMMA: Learning Language-Conditioned Multi-Robot Manipulation Autor Gong, Ran, Gao, Xiaofeng, Gao, Qiaozi, Shakiah, Suhaila, Thattai, Govind, Sukhatme, Gaurav S.

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.10.2023
    Vydáno v IEEE robotics and automation letters (01.10.2023)
    “…Complex manipulation tasks often require robots with complementary capabilities to collaborate…”
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    Journal Article
  10. 10

    SACSoN: Scalable Autonomous Control for Social Navigation Autor Hirose, Noriaki, Shah, Dhruv, Sridhar, Ajay, Levine, Sergey

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.01.2024
    Vydáno v IEEE robotics and automation letters (01.01.2024)
    “… By observing and understanding human interactions from past experiences, learning can enable effective social navigation behaviors directly from data…”
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    Journal Article
  11. 11

    ViViD++ : Vision for Visibility Dataset Autor Lee, Alex Junho, Cho, Younggun, Shin, Young-sik, Kim, Ayoung, Myung, Hyun

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.07.2022
    Vydáno v IEEE robotics and automation letters (01.07.2022)
    “…In this letter, we present a dataset capturing diverse visual data formats that target varying luminance conditions…”
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    Journal Article
  12. 12

    Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model Autor Jimenez-Perera, Gabriel, Valencia-Vidal, Brayan, Luque, Niceto R., Ros, Eduardo, Barranco, Francisco

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.10.2025
    Vydáno v IEEE robotics and automation letters (01.10.2025)
    “… Specifically, machine-learning-based inverse dynamic models show promising results for nonrigid robot identification, but the data used to train them are often kept private due to intellectual property protections…”
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    Journal Article
  13. 13

    MotIF: Motion Instruction Fine-Tuning Autor Hwang, Minyoung, Hejna, Joey, Sadigh, Dorsa, Bisk, Yonatan

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.03.2025
    Vydáno v IEEE robotics and automation letters (01.03.2025)
    “…, if an apple is picked up - many tasks require observing the full motion of the robot to correctly determine success…”
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    Journal Article
  14. 14

    CEAR: Comprehensive Event Camera Dataset for Rapid Perception of Agile Quadruped Robots Autor Zhu, Shifan, Xiong, Zixun, Kim, Donghyun

    ISSN: 2377-3766, 2377-3766
    Vydáno: IEEE 01.10.2024
    Vydáno v IEEE robotics and automation letters (01.10.2024)
    “… To bridge this gap, we introduce CEAR, a dataset comprising data from an event camera, an RGB-D camera, an IMU, a LiDAR, and joint encoders, all mounted on a dynamic quadruped, Mini Cheetah robot…”
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    Journal Article
  15. 15

    Multimodal Detection and Classification of Robot Manipulation Failures Autor Inceoglu, Arda, Aksoy, Eren Erdal, Sariel, Sanem

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.02.2024
    Vydáno v IEEE robotics and automation letters (01.02.2024)
    “…An autonomous service robot should be able to interact with its environment safely and robustly without requiring human assistance…”
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    Journal Article
  16. 16

    MoSS: Monocular Shape Sensing for Continuum Robots Autor Shentu, Chengnan, Li, Enxu, Chen, Chaojun, Dewi, Puspita T., Lindell, David B., Burgner-Kahrs, Jessica

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.02.2024
    Vydáno v IEEE robotics and automation letters (01.02.2024)
    “…Continuum robots are promising candidates for interactive tasks in medical and industrial applications due to their unique shape, compliance, and miniaturization capability…”
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    Journal Article
  17. 17

    Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items Autor Downs, Laura, Francis, Anthony, Koenig, Nate, Kinman, Brandon, Hickman, Ryan, Reymann, Krista, McHugh, Thomas B., Vanhoucke, Vincent

    Vydáno: IEEE 01.01.2022
    “…Interactive 3D simulations have enabled break-throughs in robotics and computer vision, but simulating the broad diversity of environments needed for deep learning requires large corpora of photo…”
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    Konferenční příspěvek
  18. 18

    Benchmarking the Sim-to-Real Gap in Cloth Manipulation Autor Blanco-Mulero, David, Barbany, Oriol, Alcan, Gokhan, Colome, Adria, Torras, Carme, Kyrki, Ville

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.03.2024
    Vydáno v IEEE robotics and automation letters (01.03.2024)
    “…Realistic physics engines play a crucial role for learning to manipulate deformable objects such as garments in simulation…”
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    Journal Article
  19. 19

    HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario Autor Saadatnejad, Saeed, Hosseininejad, Reyhaneh, Barreiros, Jose, Tsui, Katherine M., Alahi, Alexandre

    ISSN: 2377-3766, 2377-3766
    Vydáno: Piscataway IEEE 01.09.2025
    Vydáno v IEEE robotics and automation letters (01.09.2025)
    “…The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients…”
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    Journal Article
  20. 20

    Action-Inclusive Multi-Future Prediction Using a Generative Model in Human-Related Scenes for Mobile Robots Autor Xu, Chenfei, Ahmad, Huthaifa, Okadome, Yuya, Ishiguro, Hiroshi, Nakamura, Yutaka

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2025
    Vydáno v IEEE access (2025)
    “… While traditional prediction-based approaches primarily estimate partial features for robot decision making, such as position and velocity, recent world models enable direct prediction of future sensory data…”
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    Journal Article