International Journal of Scientific Research and Engineering Development

Robotic welding has become a critical enabling technology in high-reliability manufacturing environments, particularly in aerospace and space-grade production systems where dimensional accuracy and repeatability are essential. While conventional approaches to accuracy enhancement often rely on hardware upgrades, calibration refinement, or sensor-based feedback systems, comparatively limited attention has been given to structured automation-logic optimization as a pathway for improving welding precision. This paper proposes a system-level automation accuracy framework for robotic welding applications, emphasizing repeatable initialization, structured task sequencing, conservative motion planning, and transition smoothness control. Rather than modifying hardware architecture, the proposed framework targets error propagation mechanisms arising from kinematic tolerances, motion discontinuities, and cumulative trajectory deviations. By analyzing robotic welding as an integrated automation system, the study establishes a structured methodology for improving positional consistency in high-reliability manufacturing contexts. The framework is particularly relevant to space manufacturing environments, where stability, predictability, and conservative control design are prioritized over aggressive performance optimization. The proposed approach provides a foundation for future integration with digital twin and intelligent manufacturing systems.

Sangat Naik,"System-Level Automation Strategies for Improving Positional Accuracy in Robotic Welding for High-Reliability Manufacturing" International Journal of Scientific Research and Engineering Development, V9(1): Page(1952-1962) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.