Advances in Lightweight Composites and Additive Manufacturing for the Development of Service Robotic Systems
The widespread deployment of service robots in domestic and professional environments demands structural solutions that simultaneously achieve high stiffness, low mass, and intrinsic safety. Traditional metallic structural designs face a fundamental physical conflict: achieving high stiffness typically results in excessive mass, which compromises operational safety and battery life. To solve this, this paper presents a critical review of an integrated lightweighting strategy combining material selection, structural design, and additive manufacturing for Carbon-Fiber-Reinforced Polymer (CFRP) service robot structures. Three critical findings are presented. First, specific stiffness is established as the governing criterion for material selection, providing a unified basis to resolve the stiffness–mass conflict. Second, among current 3D printing techniques, Fused Deposition Modeling (FDM) with continuous-fiber reinforcement overcomes the geometric constraints of traditional molding, enabling the fabrication of complex, customized structures. Third, to realize the full potential of 3D-printed CFRP, we highlight the importance of integrating material properties (anisotropy), structural design (topology optimization), and manufacturing processes (path planning) into a concurrent framework. This integrated approach is validated through a collaborative robotic-arm case study, achieving a 30% reduction in structural mass.
Authors
- Huirong Le (ORCID: https://orcid.org/0000-0002-6368-7466)
- Shuai Liu (ORCID: https://orcid.org/0000-0002-0699-2296)
- Kun Liu (ORCID: https://orcid.org/0000-0001-5807-0501)
- Hongwei Chen
Institutions
- Shanghai Jiao Tong University (CN)
- Sanming University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of Composites Science
- Published
- 2026-03-13
- DOI
- https://doi.org/10.3390/jcs10030158
- Primary Topic
- Additive Manufacturing and 3D Printing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Industrial Technology Research Institute
- Tsinghua University
- Shanghai Jiao Tong University