Innovation Paths for Machine Learning in Robotics

被引：0
|
作者：
Stulp, Freek
Spranger, Michael
Listmann, Kim
Doncieux, Stephane
Tenorth, Moritz [1 ]
Konidaris, George [2 ]
Abbeel, Pieter [3 ]
机构：
[1] Magazino GmbH, Munich, Germany
[2] Brown Univ, Providence, RI USA
[3] Univ Calif Berkeley, Berkeley, CA USA
来源：
IEEE ROBOTICS & AUTOMATION MAGAZINE | 2022年 / 29卷 / 04期
关键词：
D O I：
10.1109/MRA.2022.3213205
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
[No abstract available]
引用
收藏
页码：141 / 144
页数：4
相关论文
共 50 条
  • [21] Special issue on machine learning and data engineering in robotics
    Sugiura, Komei
    Behnke, Sven
    Kulic, Dana
    Yamazaki, Kimitoshi
    ADVANCED ROBOTICS, 2016, 30 (11-12) : 705 - 705
  • [22] Machine Learning for modelling and identification of Educational Robotics activities
    Scaradozzi, D.
    Screpanti, L.
    Cesaretti, L.
    2021 29TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2021, : 753 - 758
  • [23] Impact of robotics on manufacturing: A longitudinal machine learning perspective
    Teresa Ballestar, Maria
    Diaz-Chao, Angel
    Sainz, Jorge
    Torrent-Sellens, Joan
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 162
  • [24] Leveraging Machine Learning for Terrain Traversability in Mobile Robotics
    Cottiga, Simone
    Bonin, Lorenzo
    Giberna, Marco
    Caruso, Matteo
    Gorner, Martin
    Carabin, Giovanni
    Scalera, Lorenzo
    De Lorenzo, Andrea
    Seriani, Stefano
    MECHANISM DESIGN FOR ROBOTICS, MEDER 2024, 2024, : 345 - 352
  • [25] Advances in Autonomous Underwater Robotics Based on Machine Learning
    Burguera, Antoni
    Bonin-Font, Francisco
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [26] Simulation-driven machine learning for robotics and automation
    El-Shamouty, Mohamed
    Kleeberger, Kilian
    Laemmle, Arik
    Huber, Marco
    TM-TECHNISCHES MESSEN, 2019, 86 (11) : 673 - 684
  • [27] Artificial intelligence, machine learning and deep learning in advanced robotics, a review
    Soori M.
    Arezoo B.
    Dastres R.
    Cognitive Robotics, 2023, 3 : 54 - 70
  • [28] MACHINE LEARNING FOR CONDITION MONITORING AND INNOVATION
    Pontoppidan, N. H.
    Lehn-Schioler, T.
    Petersen, K. B.
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8067 - 8071
  • [29] FOOD QUALITY INSPECTION AND SORTING USING MACHINE VISION, MACHINE LEARNING AND ROBOTICS
    Drogalis, Conor
    Zampino, Christopher
    Chauhan, Vedang
    PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 3, 2023,
  • [30] Editorial for Journal of Field Robotics -: Special issue on machine learning based robotics in unstructured environments
    Mulligan, Jane
    Grudic, Greg
    JOURNAL OF FIELD ROBOTICS, 2006, 23 (11-12) : 943 - 944
12345