Human-machine cooperative manipulation with vision-based motion constraints

被引：0
|
作者：
Hager G.D. [1 ]
机构：
[1] Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218
来源：
Lecture Notes in Control and Information Sciences | 2010年 / 401卷
关键词：
Virtual reality - Fixtures (tooling);
D O I：
10.1007/978-1-84996-089-2_4
中图分类号：
学科分类号：
摘要：
This chapter discusses a class of control algorithms that provide enhanced physical dexterity by imposing passive motion constraints. Such motion constraints are often referred to as virtual fixtures. It is shown that algorithms originally designed for vision-based control of manipulators can be easily converted into control algorithms that provide virtual fixtures. As a result it is possible to create advanced human-machine cooperative manipulation systems that take complete advantage of information provided by vision, yet permit the user to retain control of essential aspects of a given task. © 2010 Springer-Verlag London.
引用
收藏
页码：55 / 70
页数：15
相关论文
共 50 条
  • [1] A Novel Vision-based Human-Machine Interface for a Robotic Walker Framework
    Paulo, Joao
    Peixoto, Paulo
    Nunes, Urbano
    2015 24TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2015, : 134 - 139
  • [2] Design of a vision-based human-machine interface device for remote control applications
    Karkoub, M.
    Her, M-G
    Huang, C-C
    Kuo, Y-W
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2011, 225 (C9) : 2265 - 2276
  • [3] Cooperative Vision-based Localization Networks with Communication Constraints
    Zhang, Fengzhuo
    Gu, Kai
    Shen, Yuan
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [4] Effect of virtual fixture compliance on human-machine cooperative manipulation
    Marayong, P
    Bettini, A
    Okamura, A
    2002 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-3, PROCEEDINGS, 2002, : 1089 - 1095
  • [5] Combining eye gaze detection with vision-based object recognition for a portable Human-Machine Interface
    Yuan, C. X.
    Jiang, J.
    Tang, J. S.
    Zhou, Z. T.
    Hu, D. W.
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING: NEW ADVANCES, 2016, : 271 - 276
  • [6] Cooperative localization by fusing vision-based bearing measurements and motion
    Montesano, L
    Gaspar, J
    Santos-Victor, J
    Montano, L
    2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2005, : 19 - 24
  • [7] Vision-based human motion analysis: An overview
    Poppe, Ronald
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2007, 108 (1-2) : 4 - 18
  • [8] Measurement Method of Human Lower Limb Joint Range of Motion Through Human-Machine Interaction Based on Machine Vision
    Wang, Xusheng
    Liu, Guowei
    Feng, Yongfei
    Li, Wei
    Niu, Jianye
    Gan, Zhongxue
    FRONTIERS IN NEUROROBOTICS, 2021, 15
  • [9] Vision-based human-machine interface for a robotic exoskeleton glove designed for patients with brachial plexus injuries
    Guo, Yunfei
    Xu, Wenda
    Ben-Tzvi, Pinhas
    INTELLIGENT SERVICE ROBOTICS, 2024, 17 (05) : 1045 - 1060
  • [10] Human-Machine Cooperative Steering Control Considering Mitigating Human-Machine Conflict Based on Driver Trust
    Shi, Zhuqing
    Chen, Hong
    Qu, Ting
    Yu, Shuyou
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (05) : 1036 - 1048
12345