Innovative Design of Intelligent Sorting Robot Based on TRIZ Theory

DOI: https://doi.org/10.62517/jbdc.202601305

Author(s)

Zhiwen Wei1,*, Chengjun Wang2, Hui Jiang1

Affiliation(s)

1School of Intelligent Manufacturing, Huainan Union University, Huainan, Anhui, China 2School of Artificial Intelligence, Anhui Polytechnic University, Wuhu, Anhui, China *Corresponding Author

Abstract

Traditional sorting robots suffer bulky frames, limited workspace, poor human-robot collaboration safety and low integration. This paper adopts TRIZ theory to complete a full innovative design of intelligent sorting robots. The Nine-Screen Method, three-axis problem analysis and functional modeling identify core system defects. Two groups of technical contradictions are resolved via TRIZ contradiction matrix and corresponding inventive principles. Substance-field models, 76 standard solutions and the Little People Method address physical contradictions between robotic performance, equipment complexity and manufacturing cost. Spatial, sensing and multi-physical field extended resources are fully exploited to integrate multiple separation principles. All candidate schemes are evaluated for practicality. The optimal six-degree-of-freedom collaborative robot adopts integrated drive-control joints, composite lightweight links and binocular vision sensing. It eliminates fixed safety fences and realizes barrier-free human-machine sorting. This work provides standardized design references for compact, high-performance collaborative sorting robotic platforms.

Keywords

TRIZ Theory; Sorting Robot; Functional Analysis; Technical Contradiction; Physical Contradiction

References

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