LIBO: The Grasping Robot Using Object Recognition

被引:0
|
作者
Sahu, Uma [1 ]
Upadhyay, Srushti [1 ]
Singh, Navnita [1 ]
Patil, Pritam [1 ]
机构
[1] Don Bosco Inst Technol, Dept Comp Engn, Mumbai, Maharashtra, India
关键词
barcode scanning; object recognition; grasping;
D O I
暂无
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
Due to constraints on power and cost, robots operating in unstructured environments have limits on onboard computation and limited data on the objects they encounter. Arduino and MATLAB image processing proposes a thin-client model where robot is connected to computing infrastructure for access to computing resources and datasets. The work presents system architecture and a prototype on Robotics system for recognizing and grasping objects. The prototype system incorporates a robot which is basically a 4-degree freedom robotic arm with a movable platform with a web cam mounted on the top, MATLAB for recognizing the correct barcode by image processing and generating the signal on the arduino microcontroller for 'PICK' and 'PLACE' action along with the use of WI-FI for wireless communication.
引用
收藏
页码:3166 / 3171
页数:6
相关论文
共 50 条
  • [31] Tracking Control in Space Robot Grasping a Floating Object
    Zhao, Yang
    Wei, Cheng
    Wang, Hongliu
    2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4, 2009, : 2194 - 2198
  • [32] Robot grasping based on object shape approximation and LightGBM
    Lin, Shifeng
    Zeng, Chao
    Yang, Chenguang
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (03) : 9103 - 9119
  • [33] Occluded Object Grasping Based on Robot Stereo Vision
    Lin, Chuan
    Chen, Yen-Lun
    Hao, Weidong
    Wu, Xinyu
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 3698 - 3704
  • [34] Robot grasping based on object shape approximation and LightGBM
    Shifeng Lin
    Chao Zeng
    Chenguang Yang
    Multimedia Tools and Applications, 2024, 83 : 9103 - 9119
  • [35] Moving Object Prediction and Grasping System of Robot Manipulator
    Wong, Ching-Chang
    Chien, Ming-Yi
    Chen, Ren-Jie
    Aoyama, Hisayuki
    Wong, Kai-Yi
    IEEE ACCESS, 2022, 10 : 20159 - 20172
  • [36] Development of Dexterous Robot Hand for Delicate Object Grasping
    Shin, Seunghoon
    Choi, Dongmin
    Choi, Mina
    Moon, Hyungpil
    Choi, Hyouk Ryeol
    Koo, Ja Choon
    2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAL), 2012, : 462 - 463
  • [37] Grasping Action Recognition in VR Environment using Object Shape and Position Information
    Hirota, Koki
    Komuro, Takashi
    2021 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2021,
  • [38] Tactile object recognition in early phases of grasping using underactuated robotic hands
    da Fonseca, Vinicius Prado
    Jiang, Xianta
    Petriu, Emil M.
    de Oliveira, Thiago Eustaquio Alves
    INTELLIGENT SERVICE ROBOTICS, 2022, 15 (04) : 513 - 525
  • [39] Tactile object recognition in early phases of grasping using underactuated robotic hands
    Vinicius Prado da Fonseca
    Xianta Jiang
    Emil M. Petriu
    Thiago Eustaquio Alves de Oliveira
    Intelligent Service Robotics, 2022, 15 : 513 - 525
  • [40] Recognition of Grasping Patterns Using Deep Learning for Human-Robot Collaboration
    Amaral, Pedro
    Silva, Filipe
    Santos, Vitor
    SENSORS, 2023, 23 (21)