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About

Clemens Arth is a researcher specializing in robotics, geodetic engineering, and real-time sensor systems, with a focus on advancing the automation and simulation of robotic total stations (RTS). His major contributions lie in developing methodologies to streamline the modeling, calibration, and validation of RTS, which are critical for high-precision surveying and construction. Notably, his most cited work, "A Complete Workflow for Automatic Forward Kinematics Model Extraction of Robotic Total Stations Using the Denavit-Hartenberg Convention" (2018, 32 citations), introduces a simulator-in-the-loop approach that replaces complex hardware setups, significantly reducing development time for real-time algorithms. Arth has also explored integrating visual SLAM with building models and GPS for mobile robots (2020, 12 citations), enhancing autonomous navigation in structured environments. His research on measuring corner structures with support points, lines, and planes (2017, 4 citations) and analyzing measurement uncertainty in RTS simulations (2018, 3 citations) further underscores his impact on improving accuracy and reliability in robotic measurement systems. Through these works, Arth has provided foundational tools for researchers and engineers, enabling more efficient and precise automation in geospatial robotics.