Robotics-Assisted Manufacturing for Precision Engineering

Abstract

Robotics-assisted production has moved from heavy, cage-certain automation for high-quantity obligations to sophisticated, bendy structures able to assembly the tight tolerances and complicated geometries of precision engineering. This article evaluation the technological pillars (robotic architectures, sensing, control, system vision, metrology, and AI), integration paradigms (cobots, hybrid machining, virtual twins, and human–robotic collaboration), and allowing software/requirements that make high-precision robot production feasible. Key software domains—microscale assembly, robot machining and milling, precision deposition/additive processes, semiconductor handling, and optics production—are analyzed. The paper synthesizes current advances in kinematic calibration and compensation, force/torque control, real-time metrology, and closed-loop feedback, and evaluates system-degree techniques for blunders budgeting, traceability, and great assurance. Economic and personnel implications are mentioned along obstacles to adoption (accuracy limitations, compliance, multi-physics modeling, requirements gaps) and guidelines for destiny research (AI-pushed adaptive control, virtual twin-centric autonomy, hybrid production cells, and standardizing dimension chains). A set of sensible suggestions for enterprise stakeholders and a curated bibliography in APA fashion finish the article. Throughout, emphasis is positioned on combining classical precision engineering practices (metrology, mistakess budgets, fixture design) with current robot capability (sensing, learning, connectivity) to push the envelope of what robot structures can reliably produce at tight tolerances.