Design and Implementation of a Cable-Driven Continuum Spraying Robot With a Stiffness-Enhanced Flexible Joint

Abstract To address the issues of traditional spraying robots, such as heavyweight and limited adaptability to complex environments, a cable-driven continuum spraying robot (CDCSR) with pulley-winding flexible joints (PWFJs) is proposed, leveraging the high flexibility and compliance of continuum robots. The overall structure of the robot with transition joints and a stiffness-enhanced flexible joint is designed. The kinematic analysis of the CDCSR is conducted, and the mapping relationships among its configuration space, workspace, and actuation space are established. Additionally, a preliminary stiffness analysis of the flexible joint was performed based on the kinematic analysis and force conditions. Finite element analysis of a single flexible joint is carried out. Subsequently, simulation analysis is conducted on the workspace and kinematic mapping of continuum robots with one or two bending joints, followed by result comparison. A prototype of the robot is constructed, and bending performance tests, joint bending stiffness tests, as well as spraying experiments in obstacle environments are conducted. Simulation and experimental results validated that the CDCSR exhibits higher joint stiffness (compared to conventional continuum mechanisms), superior motion performance, and environmental adaptability.

Authors

Institutions

Publication Details

Journal
Journal of Mechanical Design
Published
2025-11-06
DOI
https://doi.org/10.1115/1.4070316
Citations
1
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Implementation of a Cable-Driven Continuum Spraying Robot With a Stiffness-Enhanced Flexible Joint

Kai Feng, Jingyuan Wang, Yuan Li
1 citations
Journal of Mechanical Design
Soft Robotics and Applications
0.67
article

Design and Implementation of a Cable-Driven Continuum Spraying Robot With a Stiffness-Enhanced Flexible Joint

Kai Feng, Jingyuan Wang, Yuan Li
article en
1 citations

Abstract

Abstract To address the issues of traditional spraying robots, such as heavyweight and limited adaptability to complex environments, a cable-driven continuum spraying robot (CDCSR) with pulley-winding flexible joints (PWFJs) is proposed, leveraging the high flexibility and compliance of continuum robots. The overall structure of the robot with transition joints and a stiffness-enhanced flexible joint is designed. The kinematic analysis of the CDCSR is conducted, and the mapping relationships among its configuration space, workspace, and actuation space are established. Additionally, a preliminary stiffness analysis of the flexible joint was performed based on the kinematic analysis and force conditions. Finite element analysis of a single flexible joint is carried out. Subsequently, simulation analysis is conducted on the workspace and kinematic mapping of continuum robots with one or two bending joints, followed by result comparison. A prototype of the robot is constructed, and bending performance tests, joint bending stiffness tests, as well as spraying experiments in obstacle environments are conducted. Simulation and experimental results validated that the CDCSR exhibits higher joint stiffness (compared to conventional continuum mechanisms), superior motion performance, and environmental adaptability.

Journal of Mechanical DesignVol. 148(6)
Xidian University (CN), Hefei University of Technology (CN), Zhejiang University (CN)
Openalex Percentile: Top 25%
Soft Robotics and Applications
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.