Development of a planar cable-driven parallel robot for submillimeter and terahertz beam mapping measurements
Evan C. Mayer, Ian N. Lowe, Daniel P. Marrone, James J. Bock, Charles M. Bradford, Victoria L. Butler, Tzu-Ching Chang, Yun-Ting Cheng, Dongwoo T. Chung, Abigail T. Crites, Audrey Dunn, Nicholas Emerson, Clifford Frez, Jonathon Hunacek, Ryan P. Keenan, Chao-Te Li, King Lau, Guochao Sun, Isaac Trumper, Anthony D. Turner, Benjamin Vaughan, Ta-Shun Wei, Michael Zemcov
TL;DR
This work presents a lightweight planar cable-driven parallel robot (CDPR) to automate submillimeter beam mapping for the TIME instrument, addressing the challenge of validating complex millimeter-wave optics in field-like conditions. By combining a four-cable planar mechanism, a minimal-end-effector payload of infrared emitters, inverse-kinematics-based control, and non-contact OpenCV-based pose tracking, the system achieves $xy$-plane RMSE of $2.7\ \mathrm{mm}$ and in-workspace repeatability better than a millimeter, with maximum deviations in $xy$ and $z$ within a few millimeters. Beam-map predictions using Zemax physical optics inform accuracy requirements, while real-world deployment demonstrated rapid mirror mapping (about 26 minutes per mirror) on a 20×20 grid, enabling efficient comparison with simulations and diagnostic insights. The mapper’s low cost, modularity, and open-source software make it readily reusable for beam- mapping tasks in other terahertz and submillimeter optical systems.
Abstract
The spatial sensitivity pattern of millimeter-wavelength receivers is an important diagnostic of performance and is affected by the alignment of coupling optics. Characterization can be challenging in the field, particularly in the decentered and tightly packed optical configurations that are employed for many astronomical millimeter-wave cameras. In this paper, we present the design and performance of a lightweight and reconfigurable beam mapper, consisting of a bank of thermal sources positioned by a planar cable-driven robot. We describe how the measurement requirements and mechanical constraints of the Tomographic Ionized-carbon Mapping Experiment (TIME) optical relay drive the design of the mapper. To quantify the positioning performance, we predict the beam patterns at each surface to derive requirements and use a non-contact computer-vision based method built on OpenCV to track the payload position with an accuracy better than 1.0 mm. We achieve an in-plane absolute payload position error of 2.7 mm (RMSE) over a $\sim$400 mm $\times$ 400 mm workspace and an in-plane repeatability of 0.81 mm, offering substantial improvements in accuracy and speed over traditional handheld techniques.
