A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems

arXiv cs.RO / 3/24/2026

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Key Points

  • The paper proposes a robotics framework that enables autonomous construction, alignment, and maintenance of high-precision free-space optical systems that are otherwise difficult to automate due to strict spatial/angular tolerances.
  • It combines hierarchical computer vision, optimization routines, and custom-built tooling to iteratively center beams, align multiple optical components, and select appropriate laser modes.
  • A key demonstration is the fully autonomous assembly of a tabletop laser cavity starting from randomly distributed components, including resonator alignment.
  • The system also performs closed-loop self-recovery by detecting and correcting induced misalignment and other disturbances, supporting sustained operation without manual intervention.
  • The authors position the work as a foundation for broader autonomous optical experimentation across technical domains that require precision alignment and reliable maintenance.

Abstract

Robotic automation has transformed scientific workflows in domains such as chemistry and materials science, yet free-space optics, which is a high precision domain, remains largely manual. Optical systems impose strict spatial and angular tolerances, and their performance is governed by tightly coupled physical parameters, making generalizable automation particularly challenging. In this work, we present a robotics framework for the autonomous construction, alignment, and maintenance of precision optical systems. Our approach integrates hierarchical computer vision systems, optimization routines, and custom-built tools to achieve this functionality. As a representative demonstration, we perform the fully autonomous construction of a tabletop laser cavity from randomly distributed components. The system performs several tasks such as laser beam centering, spatial alignment of multiple beams, resonator alignment, laser mode selection, and self-recovery from induced misalignment and disturbances. By achieving closed-loop autonomy for highly sensitive optical systems, this work establishes a foundation for autonomous optical experiments for applications across technical domains.