Search Results - "Interactive Robot Learning"

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  1. 1

    OrthographicNet: A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains by Kasaei, S. Hamidreza

    ISSN: 1083-4435, 1941-014X
    Published: New York IEEE 01.12.2021
    Published in IEEE/ASME transactions on mechatronics (01.12.2021)
    “…Nowadays, service robots are appearing more and more in our daily life. For this type of robot, open-ended object category learning and recognition is…”
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    Journal Article
  2. 2

    The power of combined modalities in interactive robot learning by Beierling, Helen, Beierling, Robin, Vollmer, Anna-Lisa

    ISSN: 2296-9144, 2296-9144
    Published: Switzerland Frontiers Media S.A 17.07.2025
    Published in Frontiers in robotics and AI (17.07.2025)
    “…With the continuous advancement of Artificial intelligence (AI), robots as embodied intelligent systems are increasingly becoming more present in daily life…”
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    Journal Article
  3. 3

    Effects of Robot Competency and Motion Legibility on Human Correction Feedback by Wang, Shuangge, Wang, Anjiabei, Goncharova, Sofiya, Scassellati, Brian, Fitzgerald, Tesca

    Published: IEEE 04.03.2025
    “…As robot deployments become more commonplace, people are likely to take on the role of supervising robots (i.e., correcting their mistakes) rather than…”
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    Conference Proceeding
  4. 4

    Adapting Robot Actions to Human Intentions in Dynamic Shared Environments by Ghose, Debasmita

    Published: IEEE 04.03.2025
    “…In my work, I study how robots can infer and adapt to human intentions in dynamic environments. My prior work focuses on three key methods for adapting robot…”
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    Conference Proceeding
  5. 5

    Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology by Huang, Jindan, Aronson, Reuben M., Short, Elaine Schaertl

    Published: ACM 11.03.2024
    “…To expedite the development process of interactive reinforcement learning (IntRL) algorithms, prior work often uses perfect oracles as simulated human teachers…”
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    Conference Proceeding
  6. 6

    Human-Interactive Robot Learning (HIRL) by Mirsky, Reuth, Baraka, Kim, Faulkner, Taylor Kessler, Hart, Justin, Yedidsion, Harel, Xiao, Xuesu

    Published: IEEE 07.03.2022
    “…With robots poised to enter our daily environments, we conjecture that they will not only need to work for people, but also learn from them. An active area of…”
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    Conference Proceeding
  7. 7

    Curiosity-driven acquisition of sensorimotor concepts using memory-based active learning by Roa, S., Kruijff, G.-J.M., Jacobsson, H.

    ISBN: 9781424426782, 1424426782
    Published: IEEE 01.02.2009
    “…Operating in real-world environments, a robot will need to continuously learn from its experience to update and extend its knowledge. The paper focuses on the…”
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    Conference Proceeding