Touch Sensing for Humanoid Robots

被引:23
作者
de Oliveira, Thiago Eustaquio Alves [1 ]
Cretu, Ana-Maria [2 ]
da Fonseca, Vinicius Prado [3 ]
Petriu, Emil M. [4 ]
机构
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, Elect Engn, Ottawa, ON K1N 6N5, Canada
[2] Univ Quebec Outaouais, Dept Comp Sci & Engn, Hull, PQ, Canada
[3] Univ Ottawa, Sch Elect Engn & Comp Sci, Elect Engn, Ottawa, ON K1N 6N5, Canada
[4] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5, Canada
关键词
OBJECT RECOGNITION; SENSOR;
D O I
10.1109/MIM.2015.7271221
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new generation of humanoid robots is emerging to work together with, or even replace, human operators performing complex dextrous manipulation operations in a variety of applications such as health and elder care, hazardous or high-risk environments, telemedicine, or manufacturing. To meet the challenging operational requirements of such applications, this new generation of humanoid robots should not only look as humans, but should also behave like them, being able to sense and perceive the external world and perform tasks as humans do. Touch sensing and perception is essential when handling objects while working on such complex activities in unstructured environments. The major challenges encountered when replicating the human touch sensing mechanisms are due to the inherently low resolution of the tactile images produced by the artificial sensors, to the complexity of interpreting the sensor data, and to the fact that robot hand technology is still clumsy when compared with the nimble dexterity of the human hand and fingers. This paper presents practical touch sensing solutions for humanoid robots (Fig. 1) that mimic the complex sensing mechanisms occurring in a human hand while exploring by touch 3D objects. © 1998-2012 IEEE.
引用
收藏
页码:13 / 19
页数:7
相关论文
共 12 条
  • [1] Ballesteros S, 2005, WORLD HAPTICS CONFERENCE: FIRST JOINT EUROHAPTICS CONFERENCE AND SYMPOSIUM ON HAPTIC INTERFACES FOR VIRUTUAL ENVIRONMENT AND TELEOPERATOR SYSTEMS, PROCEEDINGS, P635
  • [2] Cretu A. - M., 2015, P IEEE INT S INT SIG, P72
  • [3] Tactile Sensing-From Humans to Humanoids
    Dahiya, Ravinder S.
    Metta, Giorgio
    Valle, Maurizio
    Sandini, Giulio
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2010, 26 (01) : 1 - 20
  • [4] Elliott H. Chandler, 1969, SHAPE INTELLIGENCE E
  • [5] McKinley M., 2008, HUMAN ANATOMY, P456
  • [6] Oliveira T. E. A., 2015, IEEE INT C COMP INT
  • [7] Pawluk, 1992, ADV TACTILE SENSING, P151
  • [8] Intelligent haptic sensor system for robotic manipulation
    Payeur, P
    Pasca, C
    Cretu, AM
    Petriu, EM
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (04) : 1583 - 1592
  • [9] Robotic tactile recognition of pseudorandom encoded objects
    Petriu, EM
    Yeung, SKS
    Das, SR
    Cretu, AM
    Spoelder, HJW
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2004, 53 (05) : 1425 - 1432
  • [10] Tactile-Object Recognition From Appearance Information
    Pezzementi, Zachary
    Plaku, Erion
    Reyda, Caitlin
    Hager, Gregory D.
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2011, 27 (03) : 473 - 487