Prof. Dr.-Ing. Thomas Seel

Professur für Intelligente Sensomotorische Systeme

Regularized adaptive Kalman filter for non-persistently excited systems (2022) Rodrigo Marco V, Kalkkuhl JC, Raisch J, Seel T Journal article Autonomous Cycle Time Reduction of Robotic Tasks Using Iterative Learning Control (2022) Halt L, Meindl M, Bayer V, Kraus W, Seel T Conference contribution RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking (2022) Bachhuber S, Weber D, Weygers I, Seel T Conference contribution VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation (2022) Laidig D, Weygers I, Bachhuber S, Seel T Conference contribution Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral joint (2021) Weygers I, Kok M, Seel T, Shah D, Taylan O, Scheys L, Hallez H, Claeys K Journal article In-vitro validation of inertial-sensor-to-bone alignment (2021) Weygers I, Kok M, Seel T, Shah D, Taylan O, Scheys L, Hallez H, Claeys K Journal article In vitro validation of a non-invasive continuous blood pressure measurement method for the perioperative application (2021) Geus P, Laidig D, Borchers P, Seel T, Stettin J, Kertzscher U Journal article Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks (2021) Meindl M, Molinari F, Lehmann D, Seel T Journal article RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters (2021) Weber D, Gühmann C, Seel T Journal article BROAD – A Benchmark for Robust Inertial Orientation Estimation (2021) Laidig D, Caruso M, Cereatti A, Seel T Journal article