Thomas Seel
Orcid: 0000-0002-6920-1690Affiliations:
- Leibniz Universität Hannover, Hanover, Germany
- TU Berlin, Germany (former)
According to our database1,
Thomas Seel
authored at least 99 papers
between 2012 and 2025.
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Bibliography
2025
Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems.
CoRR, September, 2025
Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge.
CoRR, August, 2025
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory.
CoRR, August, 2025
Fast Contact Detection Via Fusion of Joint and Inertial Sensors for Parallel Robots in Human-Robot Collaboration.
IEEE Robotics Autom. Lett., July, 2025
Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks.
CoRR, February, 2025
SafePR: Unified Approach for Safe Parallel Robots by Contact Detection and Reaction with Redundancy Resolution.
CoRR, January, 2025
2024
Learning-Based Nonlinear Model Predictive Control of Articulated Soft Robots Using Recurrent Neural Networks.
IEEE Robotics Autom. Lett., December, 2024
HybGrip: a synergistic hybrid gripper for enhanced robotic surgical instrument grasping.
Int. J. Comput. Assist. Radiol. Surg., December, 2024
Integrated Model Predictive Control of High-Speed Railway Running Gears With Driven Independently Rotating Wheels.
IEEE Trans. Veh. Technol., June, 2024
IEEE Robotics Autom. Lett., June, 2024
Autom., May, 2024
Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution.
Trans. Mach. Learn. Res., 2024
CoRR, 2024
Autonomous Iterative Motion Learning (AI-MOLE) of a SCARA Robot for Automated Myocardial Injection.
CoRR, 2024
Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING).
CoRR, 2024
Towards Optimized Parallel Robots for Human-Robot Collaboration by Combined Structural and Dimensional Synthesis.
CoRR, 2024
AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation.
CoRR, 2024
FranSys - A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction.
IEEE Access, 2024
Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
A Soft Robotic System Automatically Learns Precise Agile Motions Without Model Information.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Adaptive State Estimation with Constant-Curvature Dynamics Using Force-Torque Sensors with Application to a Soft Pneumatic Actuator.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Domain-Decoupled Physics-informed Neural Networks with Closed-Form Gradients for Fast Model Learning of Dynamical Systems.
Proceedings of the 21st International Conference on Informatics in Control, 2024
Learning of a Rapid Prototyping Gait Library for a Quadruped Robot Using PD-ILC and Gaussian Processes.
Proceedings of the 17th International Conference on Control, 2024
Achieving Velocity Tracking Despite Model Uncertainty for a Quadruped Robot with a PD-ILC Controller.
Proceedings of the European Control Conference, 2024
Solving Motion Tasks with Challenging Dynamics by Combining Kinodynamic Motion Planning and Iterative Learning Control.
Proceedings of the European Control Conference, 2024
Reliable State Estimation in a Truck-Semitrailer Combination Using an Artificial Neural Network-Aided Extended Kalman Filter.
Proceedings of the European Control Conference, 2024
Proceedings of the European Control Conference, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Reference-Adapting Iterative Learning Control for Motion Optimization in Constrained Environments.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures.
ACM Trans. Comput. Hum. Interact., 2023
VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection.
Inf. Fusion, 2023
Neural ODEs for Data-Driven Automatic Self-Design of Finite-Time Output Feedback Control for Unknown Nonlinear Dynamics.
IEEE Control. Syst. Lett., 2023
Proceedings of the 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023
Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses.
Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023
Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots.
Proceedings of the Human-Friendly Robotics 2023, 2023
Data-Driven Dynamic Input Transfer for Learning Control in Multi-Agent Systems with Heterogeneous Unknown Dynamics.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks.
IEEE Trans. Control. Syst. Technol., 2022
Sensors, 2022
Validation of Non-Restrictive Inertial Gait Analysis of Individuals with Incomplete Spinal Cord Injury in Clinical Settings.
Sensors, 2022
Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics.
Frontiers Robotics AI, 2022
Autom., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation.
Proceedings of the 25th International Conference on Information Fusion, 2022
RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking.
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
Sensors, 2021
Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All.
Sensors, 2021
Frontiers Digit. Health, 2021
CoRR, 2021
2020
Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach.
Sensors, 2020
Frontiers Robotics AI, 2020
Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks.
IEEE Control. Syst. Lett., 2020
CoRR, 2020
Sparse Magnetometer-free Inertial Motion Tracking - A Condition for Observability in Double Hinge Joint Systems.
CoRR, 2020
Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation.
CoRR, 2020
Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints.
CoRR, 2020
Development of a home-based wrist range-of-motion training system for children with cerebral palsy.
Autom., 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
Real-time Implementation and Evaluation of Magnetometerless Tracking System for Human and Humanoid Posture Control Benchmarking based on Inertial Sensors.
Proceedings of the 17th International Conference on Informatics in Control, 2020
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
2019
COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
Joint Axis Estimation for Fast and Slow Movements Using Weighted Gyroscope and Acceleration Constraints.
Proceedings of the 22th International Conference on Information Fusion, 2019
Stop Repeating Yourself: Exploitation of Repetitive Signal Patterns to Reduce Communication Load in Sensor Networks.
Proceedings of the 17th European Control Conference, 2019
On Motions That Allow for Identification of Hinge Joint Axes from Kinematic Constraints and 6D IMU Data.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Magnetometer-free Realtime Inertial Motion Tracking by Exploitation of Kinematic Constraints in 2-DoF Joints.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Development of Adapted Guitar to Improve Motor Function After Stroke: Feasibility Study in Young Adults.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A Transferable Force Controller based on Prescribed Performance for Contact Establishment in Robotic Assembly Tasks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
CoRR, 2018
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
Iterative Learning Vector Field for FES-Supported Cyclic Upper Limb Movements in Combination with Robotic Weight Compensation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 21st International Conference on Information Fusion, 2018
Design of an iterative learning control with a selective learning strategy for swinging up a pendulum.
Proceedings of the 16th European Control Conference, 2018
Hybrid Inertial-Robotic Motion Tracking for Posture Biofeedback in Upper Limb Rehabilitation.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Monotonic convergence of iterative learning control systems with variable pass length.
Int. J. Control, 2017
Exploiting kinematic constraints to compensate magnetic disturbances when calculating joint angles of approximate hinge joints from orientation estimates of inertial sensors.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
2016
Voltage Stability and Reactive Power Sharing in Inverter-Based Microgrids With Consensus-Based Distributed Voltage Control.
IEEE Trans. Control. Syst. Technol., 2016
Development of a novel functional electrical stimulation system for hand rehabilitation using feedback control.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Entwurf einer lernenden Kaskadenregelung für ein nichtinvasives kontinuierliches Blutdruckmesssystem.
Autom., 2015
2014
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014
A consensus-based distributed voltage control for reactive power sharing in microgrids.
Proceedings of the 13th European Control Conference, 2014
2013
Iterativ Lernende Regelung mit variabler Zykluslänge für FES-basierte Kompensation einer Fußheberschwäche / Iterative Learning Control with Variable Pass Length applied to FES-based Drop Foot Treatment.
Autom., 2013
Iterative Learning Cascade Control of Continuous Noninvasive Blood Pressure Measurement.
Proceedings of the IEEE International Conference on Systems, 2013
Iterative Learning Control with variable pass length applied to trajectory tracking on a crane with output constraints.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Joint axis and position estimation from inertial measurement data by exploiting kinematic constraints.
Proceedings of the IEEE International Conference on Control Applications, 2012