Physical Human-Robot Interaction Mutual Learning and Adaptation

被引：72
|
作者：
Ikemoto, Shuhei [1 ]
Ben Amor, Heni [2 ]
Minato, Takashi [3 ]
Jung, Bernhard [4 ]
Ishiguro, Hiroshi [5 ]
机构：
[1] Osaka Univ, Dept Multimedia Engn, Suita, Osaka 565, Japan
[2] Tech Univ Darmstadt, Intelligent Autonomous Syst Grp, Darmstadt, Germany
[3] ATR Hiroshi Ishiguro Lab, Kyoto, Japan
[4] Tech Univ Bergakad Freiberg, Virtual Real & Multimedia Grp, Freiberg, Germany
[5] Osaka Univ, Dept Syst Innovat, Suita, Osaka 565, Japan
来源：
IEEE ROBOTICS & AUTOMATION MAGAZINE | 2012年 / 19卷 / 04期
关键词：
Human-robot interaction; Learning systems; Behavioral science; Service robots; Machine learning; BODY;
D O I：
10.1109/MRA.2011.2181676
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：24 / 35
页数：12
相关论文
共 50 条
  • [41] Adaptation of action theory for Human-Robot Social Interaction
    Toumi, Tarek
    Zidani, Abdelmadjid
    [J]. 2013 INTERNATIONAL CONFERENCE ON INDIVIDUAL AND COLLECTIVE BEHAVIORS IN ROBOTICS (ICBR), 2013, : 109 - 114
  • [42] Joint Action, Adaptation, and Entrainment in Human-Robot Interaction
    Fourie, Christopher
    Figueroa, Nadia
    Shah, Julie
    Bienkiewicz, Marta
    Bardy, Benoit
    Burdet, Etienne
    Singamaneni, Phani Teja
    Alami, Rachid
    Curioni, Arianna
    Knoblich, Gunther
    Johal, Wafa
    Sternad, Dagmar
    Jung, Malte
    [J]. PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, : 1250 - 1253
  • [43] Physical Human-Robot Interaction Through Hugs with CASTOR Robot
    Gaitan-Padilla, Maria
    Maldonado-Mejia, Juan C.
    Fonseca, Leodanis
    Pinto-Bernal, Maria J.
    Casas, Diego
    Munera, Marcela
    Cifuentes, Carlos A.
    [J]. SOCIAL ROBOTICS, ICSR 2021, 2021, 13086 : 814 - 818
  • [44] Modular Robot Arm Design for Physical Human-Robot Interaction
    Tremblay, Ty
    Padir, Taskin
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 4482 - 4487
  • [45] Mutual assistance between speech and vision for human-robot interaction
    Burger, Brice
    Lerasle, Frederic
    Ferrane, Isabelle
    Clodic, Aurelie
    [J]. 2008 IEEE/RSJ INTERNATIONAL CONFERENCE ON ROBOTS AND INTELLIGENT SYSTEMS, VOLS 1-3, CONFERENCE PROCEEDINGS, 2008, : 4011 - +
  • [46] Introduction to the Special Issue on the Mutual Shaping of Human-Robot Interaction
    Ben Allouch, Somaya
    de Graaf, Maartje
    Sabanovic, Selma
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2020, 12 (04) : 843 - 845
  • [47] Learning Physical Human-Robot Interaction With Coupled Cooperative Primitives for a Lower Exoskeleton
    Huang, Rui
    Cheng, Hong
    Qiu, Jing
    Zhang, Jianwei
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 16 (04) : 1566 - 1574
  • [48] Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes
    Ilyas, Chaudhary Muhammad Aqdus
    Rehm, Matthias
    Nasrollahi, Kamal
    Madadi, Yeganeh
    Moeslund, Thomas B.
    Seydi, Vahid
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2022, 25 (03) : 653 - 677
  • [49] Operator engagement detection and robot behavior adaptation in human-robot interaction
    Rani, P
    Sarkar, N
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 2051 - 2056
  • [50] Learning cooperation from human-robot interaction
    Nicolescu, MN
    Mataric, MJ
    [J]. DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2000, : 477 - 478
12345