Search Results - Communication AND Control Engineering::Robotics AND Mechatronics Systems::Computer Vision*

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  1. 1

    Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction by Caccavale, Riccardo, Saveriano, Matteo, Finzi, Alberto, Lee, Dongheui

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 15.08.2019
    Published in Autonomous robots (15.08.2019)
    “… The proposed system combines physical human–robot interaction with attentional supervision in order to support kinesthetic teaching, incremental learning, and cooperative execution of hierarchically structured tasks…”
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    Journal Article
  2. 2

    Network offloading policies for cloud robotics: a learning-based approach by Chinchali, Sandeep, Sharma, Apoorva, Harrison, James, Elhafsi, Amine, Kang, Daniel, Pergament, Evgenya, Cidon, Eyal, Katti, Sachin, Pavone, Marco

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.10.2021
    Published in Autonomous robots (01.10.2021)
    “…Today’s robotic systems are increasingly turning to computationally expensive models such as deep neural networks (DNNs…”
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    Journal Article
  3. 3

    Survey on Computer Vision for UAVs: Current Developments and Trends by Kanellakis, Christoforos, Nikolakopoulos, George

    ISSN: 0921-0296, 1573-0409, 1573-0409
    Published: Dordrecht Springer Netherlands 01.07.2017
    Published in Journal of intelligent & robotic systems (01.07.2017)
    “… To this extent, visual sensing techniques have been integrated in the control pipeline of the UAVs in order to enhance their navigation and guidance skills…”
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    Journal Article
  4. 4

    Auctions for multi-robot task allocation in communication limited environments by Otte, Michael, Kuhlman, Michael J., Sofge, Donald

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.03.2020
    Published in Autonomous robots (01.03.2020)
    “… as communication quality decreases from perfect to nonexistent. Thus, if a multi-robot system is expected to encounter lossy communication, then the auction algorithm that it uses for task allocation must be chosen carefully…”
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    Journal Article
  5. 5

    Using probabilistic movement primitives in robotics by Paraschos, Alexandros, Daniel, Christian, Peters, Jan, Neumann, Gerhard

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.03.2018
    Published in Autonomous robots (01.03.2018)
    “… They provide a data-driven representation of movements and support generalization to novel situations, temporal modulation, sequencing of primitives and controllers for executing the primitive on physical systems…”
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  6. 6

    On the Design and Development of Vision-based Tactile Sensors by Shah, Umer Hameed, Muthusamy, Rajkumar, Gan, Dongming, Zweiri, Yahya, Seneviratne, Lakmal

    ISSN: 0921-0296, 1573-0409
    Published: Dordrecht Springer Netherlands 01.08.2021
    Published in Journal of intelligent & robotic systems (01.08.2021)
    “…This paper reviews the existing vision-based tactile sensor (VBTS) designs reported in the literature…”
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    Journal Article
  7. 7

    Large language models for chemistry robotics by Yoshikawa, Naruki, Skreta, Marta, Darvish, Kourosh, Arellano-Rubach, Sebastian, Ji, Zhi, Bjørn Kristensen, Lasse, Li, Andrew Zou, Zhao, Yuchi, Xu, Haoping, Kuramshin, Artur, Aspuru-Guzik, Alán, Shkurti, Florian, Garg, Animesh

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.12.2023
    Published in Autonomous robots (01.12.2023)
    “… Adding natural language interfaces to autonomous chemistry experiment systems lowers the barrier to using complicated robotics systems and increases utility for non-expert users, but translating…”
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    Journal Article
  8. 8

    Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment by Lin, Shanggang, Garratt, Matthew A., Lambert, Andrew J.

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.04.2017
    Published in Autonomous robots (01.04.2017)
    “… An onboard controller is designed to close the control loop. Experiments show that the vision system is accurate, robust, and capable of dealing with an incomplete…”
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    Journal Article
  9. 9

    A concurrent learning approach to monocular vision range regulation of leader/follower systems by Fairfax, Luisa, Vela, Patricio

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.12.2024
    Published in Autonomous robots (01.12.2024)
    “…This paper explores range and bearing angle regulation of a leader–follower using monocular vision…”
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    Journal Article
  10. 10

    Motion planning and control for mobile robot navigation using machine learning: a survey by Xiao, Xuesu, Liu, Bo, Warnell, Garrett, Stone, Peter

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.06.2022
    Published in Autonomous robots (01.06.2022)
    “… Decades of research and engineering have been dedicated to developing sophisticated navigation systems to move mobile robots from one point to another…”
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    Journal Article
  11. 11

    Progress and prospects of the human–robot collaboration by Ajoudani, Arash, Zanchettin, Andrea Maria, Ivaldi, Serena, Albu-Schäffer, Alin, Kosuge, Kazuhiro, Khatib, Oussama

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.06.2018
    Published in Autonomous robots (01.06.2018)
    “…Recent technological advances in hardware design of the robotic platforms enabled the implementation of various control modalities for improved interactions with humans and unstructured environments…”
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    Journal Article
  12. 12

    PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision by Meier, Lorenz, Tanskanen, Petri, Heng, Lionel, Lee, Gim Hee, Fraundorfer, Friedrich, Pollefeys, Marc

    ISSN: 0929-5593, 1573-7527
    Published: Boston Springer US 01.08.2012
    Published in Autonomous robots (01.08.2012)
    “…We describe a novel quadrotor Micro Air Vehicle (MAV) system that is designed to use computer vision algorithms within the flight control loop…”
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    Journal Article
  13. 13

    Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication by Horyna, Jiri, Baca, Tomas, Walter, Viktor, Albani, Dario, Hert, Daniel, Ferrante, Eliseo, Saska, Martin

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.01.2023
    Published in Autonomous robots (01.01.2023)
    “… We introduce a local visual communication channel that establishes a network connection between neighboring robots without explicit communication to achieve high reliability and scalability of the system…”
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    Journal Article
  14. 14

    Integration of Artificial Vision and Image Processing into a Pick and Place Collaborative Robotic System by Santos, Adriano A., Schreurs, Cas, da Silva, António Ferreira, Pereira, Filipe, Felgueiras, Carlos, Lopes, António M., Machado, José

    ISSN: 1573-0409, 0921-0296, 1573-0409
    Published: Dordrecht Springer Netherlands 08.11.2024
    Published in Journal of intelligent & robotic systems (08.11.2024)
    “… This paper explores the possibilities of implementing a low-cost camera into a collaborative robotic system…”
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    Journal Article
  15. 15

    Text2Motion: from natural language instructions to feasible plans by Lin, Kevin, Agia, Christopher, Migimatsu, Toki, Pavone, Marco, Bohg, Jeannette

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.12.2023
    Published in Autonomous robots (01.12.2023)
    “…We propose Text2Motion, a language-based planning framework enabling robots to solve sequential manipulation tasks that require long-horizon reasoning. Given a…”
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    Journal Article
  16. 16

    Resilient distributed state estimation with mobile agents: overcoming Byzantine adversaries, communication losses, and intermittent measurements by Mitra, Aritra, Richards, John A., Bagchi, Saurabh, Sundaram, Shreyas

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 15.03.2019
    Published in Autonomous robots (15.03.2019)
    “… evolving over a region. However, these networks of mobile agents also introduce various challenges, including intermittent observations of the dynamical process, loss of communication links due to mobility and packet drops…”
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  17. 17

    Vision-Guided Aerial Manipulation Using a Multirotor With a Robotic Arm by Kim, Suseong, Seo, Hoseong, Choi, Seungwon, Kim, H. Jin

    ISSN: 1083-4435, 1941-014X
    Published: New York IEEE 01.08.2016
    Published in IEEE/ASME transactions on mechatronics (01.08.2016)
    “…) for an aerial manipulator combining a multirotor with a multidegree of freedom robotic arm. To take into account the dynamic characteristics of the combined manipulation platform, the kinematic and dynamic models of the combined system are derived…”
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    Journal Article
  18. 18

    TidyBot: personalized robot assistance with large language models by Wu, Jimmy, Antonova, Rika, Kan, Adam, Lepert, Marion, Zeng, Andy, Song, Shuran, Bohg, Jeannette, Rusinkiewicz, Szymon, Funkhouser, Thomas

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 01.12.2023
    Published in Autonomous robots (01.12.2023)
    “… shelf. We aim to build systems that can learn such preferences from just a handful of examples via prior interactions with a particular person…”
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  19. 19

    Distributed multi-robot formation control in dynamic environments by Alonso-Mora, Javier, Montijano, Eduardo, Nägeli, Tobias, Hilliges, Otmar, Schwager, Mac, Rus, Daniela

    ISSN: 0929-5593, 1573-7527
    Published: New York Springer US 15.06.2019
    Published in Autonomous robots (15.06.2019)
    “…This paper presents a distributed method for formation control of a homogeneous team of aerial or ground mobile robots navigating in environments with static and dynamic obstacles…”
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  20. 20

    A review of hand gesture and sign language recognition techniques by Cheok, Ming Jin, Omar, Zaid, Jaward, Mohamed Hisham

    ISSN: 1868-8071, 1868-808X
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2019
    “…Hand gesture recognition serves as a key for overcoming many difficulties and providing convenience for human life. The ability of machines to understand human…”
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