Werner Palfinger

Papers

Total Citations

H-Index

About

Werner Palfinger’s research lies at the intersection of industrial robotics and advanced materials inspection, with a focus on trajectory planning and automated quality control. His most cited work, “LSPB Trajectory Planning Using Quadratic Splines” (2017, 8 citations), introduces a novel method for generating smooth, efficient manipulator trajectories that integrate seamlessly with existing robot interfaces—a practical contribution to industrial automation. This work emphasizes simplicity and compatibility, making it valuable for manufacturers seeking to enhance robot performance without overhauling their systems. Palfinger also explores the robotic inspection of carbon fibre reinforced plastic (CFRP) surfaces (2016, 3 citations), a critical area for aerospace and automotive industries. His system combines photometric stereo analysis with robotic integration to determine 3D fibre orientations on curved surfaces, addressing a key challenge in non-destructive testing. While his citation counts reflect a focused, early-career impact, his contributions to trajectory optimization and CFRP inspection demonstrate a clear commitment to bridging theoretical algorithms with real-world manufacturing needs. His work is particularly relevant for researchers and engineers working on robot motion planning and automated composite material inspection.