mlsanityData to 14 Oct 2026

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

arXiv 2603.21496 ↗First posted 23 Mar 2026cs.RO cs.AI physics.opticscited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 24 references that are in the map. First posted on arXiv 23 Mar 2026.

Builds on

8 of 24 references.

References · 8

  1. 2024ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterizationcited by 61
  2. 2020Interferobot: aligning an optical interferometer by a reinforcement learning agentcited by 12
  3. 2025RoboCulture: A Robotics Platform for Automated Biological Experimentationcited by 7
  4. 2025Active Alignments of Lens Systems with Reinforcement Learningcited by 3
  5. 2021Aligning an optical interferometer with beam divergence control and continuous action spacecited by 2
  6. 2024Model-free reinforcement learning with noisy actions for automated experimental control in opticscited by 2
  7. 2025AI-Driven Robotics for Opticscited by 2
  8. 2024Action-Attentive Deep Reinforcement Learning for Autonomous Alignment of Beamlinescited by 1

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Citing papers per year: 2026: 1.

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