COSPI: Contextual sensors for human-robot interaction

被引:0
|
作者
Ishii, K [1 ]
Imai, M [1 ]
机构
[1] Keio Univ, Grad Sch Sci & Technol, Kohoku Ku, Yokohama, Kanagawa 2238522, Japan
来源
PROCEEDINGS OF THE TENTH IASTED INTERNATIONAL CONFERENCE ON ROBOTICS AND APPLICATIONS | 2004年
关键词
human-robot interaction; sensor network. visual sensor; space recognition; communicating context;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper proposes a system named COSPI for communication robot to process data from sensors in the environment. In order to realize a smooth interaction between a person and a robot, the robot needs to recognize objects around itself including people. However, since the information acquired from sensors on the robot is poor and limited to local information of the robot, it is difficult to realize a smooth interaction relying only on the information from sensors on the robot. In this research, we set sensors in an environment to obtain wide and rich environmental data from sensors around the robot. In case of a communication robot, since the robot requires to deal with several tasks in parallel, the robot needs to deal with the information from sensors simply to realize a smooth interaction. COSPI changes data sent to robots by its internal state. Robots can simply react on data from COSPI. In this paper, we explain how COSPI's state is determined and how COSPI selects data from sensors.
引用
收藏
页码:136 / 141
页数:6
相关论文
共 50 条
  • [1] Human-Robot Interaction Based on use of Capacitive Sensors
    Sekoranja, Bojan
    Basic, Denis
    Svaco, Marko
    Suligoj, Filip
    Jerbic, Bojan
    24TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2013, 2014, 69 : 464 - 468
  • [2] Human-robot interaction
    Murphy R.R.
    Nomura T.
    Billard A.
    Burke J.L.
    IEEE Robotics and Automation Magazine, 2010, 17 (02) : 85 - 89
  • [3] Human-robot interaction
    Kosuge, K
    Hirata, Y
    IEEE ROBIO 2004: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, 2004, : 8 - 11
  • [4] On Interaction Quality in Human-Robot Interaction
    Bensch, Suna
    Jevtic, Aleksandar
    Hellstrom, Thomas
    ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2017, : 182 - 189
  • [5] Human-Robot Proxemics: Physical and Psychological Distancing in Human-Robot Interaction
    Mumm, Jonathan
    Mutlu, Bilge
    PROCEEDINGS OF THE 6TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTIONS (HRI 2011), 2011, : 331 - 338
  • [6] Expressiveness in human-robot interaction
    Marti, Patrizia
    Giusti, Leonardo
    Pollini, Alessandro
    Rullo, Alessia
    INTERACTION DESIGN AND ARCHITECTURES, 2008, (5-6) : 93 - 98
  • [7] Communication in Human-Robot Interaction
    Andrea Bonarini
    Current Robotics Reports, 2020, 1 (4): : 279 - 285
  • [8] The Effect of Multiple Robot Interaction on Human-Robot Interaction
    Yang, Jeong-Yean
    Kwon, Dong-Soo
    2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAL), 2012, : 30 - 33
  • [9] The Science of Human-Robot Interaction
    Kiesler, Sara
    Goodrich, Michael A.
    ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION, 2018, 7 (01)
  • [10] Sound in Human-Robot Interaction
    Pelikan, Hannah
    Robinson, Frederic Anthony
    Keevallik, Leelo
    Velonaki, Mari
    Broth, Mathias
    Bown, Oliver
    HRI '21: COMPANION OF THE 2021 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2021, : 706 - 708