A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems
Seou Choi, Sachin Vaidya, Caio Silva, Shiekh Zia Uddin, Sajib Biswas Shuvo, Shrish Choudhary, Marin Solja\v{c}i\'c

TL;DR
This paper introduces an autonomous robotics framework for constructing, aligning, and maintaining high-precision optical systems, enabling fully automated optical experiments with self-recovery capabilities.
Contribution
It presents a novel integrated system combining computer vision, optimization, and custom tools for autonomous optical system assembly and maintenance.
Findings
Successfully constructed a laser cavity autonomously from components.
Achieved precise beam alignment and mode selection automatically.
Demonstrated self-recovery from misalignments and disturbances.
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…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Neural Networks and Reservoir Computing · Advanced optical system design
