Peter Gsellmann

Papers

Total Citations

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About

Peter Gsellmann is a researcher specializing in precision mechatronics, robotics, and advanced measurement systems. His work bridges the gap between autonomous robotic manipulation and high-accuracy metrology, with a focus on enabling automation in unstructured or dynamic environments. In his 2019 paper on an automated tripod leveling system for a granular-fill insulation distributing robot, Gsellmann developed a novel approach to modeling, controller design, and parameter estimation for a self-leveling tripod base. This work addresses the challenge of unknown leg configurations after manual setup, enabling robust motion planning and autonomous operation in construction robotics. More recently, his 2024 paper presents a six-degree-of-freedom dual-stage sample-tracking system that compensates for relative motion during high-precision 3-D surface measurements on moving objects. By integrating a 3-D measurement module as an end effector on an industrial robot, this system pushes the boundaries of in-process inspection and dynamic metrology. With over 6 citations across his most-cited works, Gsellmann’s contributions are gaining traction in the fields of field robotics and precision engineering, demonstrating a clear trajectory toward practical, high-impact automation solutions.