|Table of Contents|

Advances and key techniques of rebar binding robot(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2025年05期
Page:
15-31
Research Field:
综述
Publishing date:

Info

Title:
Advances and key techniques of rebar binding robot
Author(s):
DONG Linjie1;  ZHANG Renfei1;  LI Jie2; 3;  WANG Xingsong1;  TIAN Mengqian1
(1. School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu, China; 2. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China; 3. College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China)
Keywords:
intelligent construction;  rebar binding robot;  binding point recognition and positioning;  robot positioning and navigation;  coordinated control
PACS:
TU689
DOI:
10.19815/j.jace.2024.04039
Abstract:
In order to broaden the research scope of rebar binding robots and facilitate their development and application, a comprehensive review of the current state of research on such robots both domestically and internationally was conducted. The binding process of rebar mesh was analyzed, and the design requirements of rebar binding robots were summarized. Subsequently, key technologies involved in rebar binding robots, including binding point recognition and positioning, robot positioning and navigation, and coordinated control of mobile manipulators, were detailed. Finally, future trends in the development of rebar binding robots were proposed from three perspectives: multimodal sensor data perception fusion, adaptive intelligent planning control, and multi-machine collaborative operation. The results show that robotic technology can enhance the quality and efficiency of rebar binding, thereby achieving automation and intelligence in the process and promoting the development of intelligent construction. Presently, in terms of binding point recognition and positioning, the mainstream approach combines binding point recognition technology based on key point detection with binding point positioning technology based on depth cameras or binocular cameras. Regarding robot positioning, single-sensor positioning technology has become inadequate to meet the positioning accuracy and stability requirements of rebar binding robots in complex scenes, leading to a focus on multi-sensor data fusion positioning technology as a prominent research direction. In the domain of robot navigation and control, advancements in modern intelligent algorithms and artificial intelligence technologies are driving the development of technologies such as robot path planning, motion control, and coordinated control of mobile manipulators towards intelligence. However, challenges persist, including significant training data requirements, training complexity, and the deployment of models trained in simulated environments to real-world settings.

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Last Update: 2025-09-25