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Updated: Jul 18, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Structural Optimization Design of a Six-Degrees-of-Freedom Serial Robot with Integrated Topology and Dimensional
Jiguang Jia1,2, Xuan Sun1,2
1College of Mechanic and Control Engineering, Guilin University of Technology, Guilin 541004, China.
This study introduces a novel integrated optimization method for serial robot structural design, successfully reducing mass by 15% while maintaining stiffness and minimizing deformation for industrial applications.
Area of Science:
- Robotics
- Mechanical Engineering
- Structural Optimization
Background:
- Traditional serial robot design separates topology and dimensional parameter optimization, hindering synchronous design.
- This independence presents challenges in achieving optimal structural performance.
Purpose of the Study:
- To propose a topology-and-dimension-parameter integrated optimization method (TPOM) for serial robots.
- To enable synchronous optimization of structural topology and dimensional features.
Main Methods:
- Topology layout extraction using edge detection and structural manufacturability reconstruction.
- Setting critical variables in 3D software (SOLIDWORKS2021) and employing response surface methodology for metamodel construction.
- Utilizing multi-objective genetic algorithm (MOGA) for optimizing critical variables and structural deformation analysis.
Main Results:
- The TPOM method achieved a 15% reduction in structural mass.
- The optimized structure maintained its stiffness.
- The structural deformation was reduced to less than 0.352 mm, meeting industrial requirements.
Conclusions:
- The proposed TPOM method effectively integrates topology and dimensional parameter design for serial robots.
- The method demonstrates feasibility and superiority in optimizing structural mass and stiffness.
- The optimized designs are suitable for industrial applications requiring high performance and minimal deformation.
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