Robotic grippers for large and soft object manipulation

被引:10
|
作者
Takacs, Kristof [1 ]
Mason, Alex [2 ]
Christensen, Lars Bager [3 ]
Haidegger, Tamas [1 ]
机构
[1] Obuda Univ, Antal Bejczy Ctr Intelligent Robot, Budapest, Hungary
[2] Norwegian Univ Life Sci NMBU, As, Norway
[3] Danish Technol Inst DTI, Taastrup, Denmark
关键词
robotic gripper; meat grasping; meat processing; soft-tissue manipulation; HANDS;
D O I
10.1109/cinti51262.2020.9305836
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Grasping has always been considered a key domain of cyber-physical systems, through which action physical interaction can be achieved. This paper presents a systematic review of the state-of-the-art robotic soft object gripping solutions aimed for the food-industry, focusing on red meat handling. A categorized analysis about the currently used grippers is provided, that could be used or adapted to robotic meat-processing. The paper enlists various solutions and gripping principles for low-payload applications too, although the emphasis is on the classic shape-locking and force-locking grippers that are potentially capable of grasping and manipulating heavier specimens. The purpose of the scientific literature survey is mainly to identify exceptional and/or remarkable gripper-designs, or completely new gripping concepts, while the patent research presents complete, commercially available solutions.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Force Sensing Fingertip with Soft Optical Waveguides for Robotic Hands and Grippers
    Jamil, Babar
    Kim, Jaehyun
    Choi, Youngjin
    2018 IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2018, : 146 - 151
  • [42] Dynamic Object Manipulation using a Virtual Frame by a Triple Soft-Fingered Robotic Hand
    Tahara, Kenji
    Arimoto, Suguru
    Yoshida, Morio
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 4322 - 4327
  • [43] ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
    Li, Xiaoqi
    Zhang, Mingxu
    Geng, Yiran
    Geng, Haoran
    Long, Yuxing
    Shen, Yan
    Zhang, Renrui
    Liu, Jiaming
    Dong, Hao
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 18061 - 18070
  • [44] Object manipulation by soft fingers and vision
    Yokokohji, Y
    Sakamoto, M
    Yoshikawa, T
    ROBOTICS RESEARCH, 2000, : 365 - 374
  • [45] An overview of robotic grippers
    Cairnes T.J.
    Ford C.J.
    Psomopoulou E.
    Lepora N.
    IEEE Potentials, 2023, 42 (03): : 17 - 23
  • [46] A systematic automated grasping approach for automatic manipulation of fabric with soft robot grippers
    Liu, Yuqi
    Su, Junqiang
    Li, Xinyu
    Jin, Guoqing
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2023, 50 (04): : 623 - 632
  • [47] Effect of Vibrotactile Feedback on Robotic Object Manipulation
    An, Qi
    Asama, Hajime
    Matsuoka, Yoky
    Stepp, Cara E.
    2012 4TH IEEE RAS & EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2012, : 508 - 513
  • [48] Vision for robotic object manipulation in domestic settings
    Kragic, D
    Björkman, M
    Christensen, HI
    Eklundh, JO
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2005, 52 (01) : 85 - 100
  • [49] Robotic Manipulation of Sperm as a Deformable Linear Object
    Dai, Changsheng
    Shan, Guanqiao
    Liu, Hang
    Ru, Changhai
    Sun, Yu
    IEEE TRANSACTIONS ON ROBOTICS, 2022, 38 (05) : 2799 - 2811
  • [50] A Biomimetic Tactile Palm for Robotic Object Manipulation
    Lei, Ziwei
    Deng, Xutian
    Wang, Yi
    Li, Zhihao
    Xiao, Xiaohui
    Han, Dong
    Chen, Fei
    Li, Miao
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04) : 11500 - 11507