Tobias Biermann

Papers

Total Citations

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About

Tobias Biermann is a rising researcher at the intersection of additive manufacturing and soft robotics, with a growing portfolio of work that bridges materials science and intelligent system design. His primary research focuses on the selection and quality assessment of manufacturing processes for soft robotic components, where he has made notable contributions to decision-making frameworks and material characterization. Biermann’s most cited work, “Selection of a suitable additive manufacturing process for soft robotics application using three-way decision-making” (2024, 12 citations), introduces a novel methodology for systematically evaluating and choosing optimal fabrication techniques, a critical step for advancing the field. He further explores process reliability in “Quality analysis of material jetted silicone material for soft robotics application” (2023, 6 citations), providing essential data on material performance. Additionally, his investigation into LiDAR angular resolution requirements (2024, 1 citation) demonstrates a broader interest in sensor technologies for autonomous systems. While his citation counts are modest, reflecting his early career stage, Biermann’s work is already shaping how researchers approach manufacturing choices for compliant robots, and his interdisciplinary focus positions him as a promising voice in the next generation of robotics engineers.