Sebastian Trimpe

According to our database1, Sebastian Trimpe authored at least 73 papers between 2007 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Robot Learning With Crash Constraints.
IEEE Robotics Autom. Lett., 2021

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges.
Proc. IEEE, 2021

Controller Design via Experimental Exploration With Robustness Guarantees.
IEEE Control. Syst. Lett., 2021

Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models.
IEEE Control. Syst. Lett., 2021

Symplectic Gaussian Process Dynamics.
CoRR, 2021

2020
Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study.
IEEE Trans. Control. Syst. Technol., 2020

Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees.
ACM Trans. Cyber Phys. Syst., 2020

Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach.
Sensors, 2020

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control.
IEEE Robotics Autom. Lett., 2020

Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage.
IEEE Robotics Autom. Lett., 2020

Sliding Mode Control with Gaussian Process Regression for Underwater Robots.
J. Intell. Robotic Syst., 2020

Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks.
IEEE Control. Syst. Lett., 2020

Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems.
IEEE Control. Syst. Lett., 2020

Structured learning of rigid-body dynamics: A survey and unified view.
CoRR, 2020

Learning Event-triggered Control from Data through Joint Optimization.
CoRR, 2020

Identifying Causal Structure in Dynamical Systems.
CoRR, 2020

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures.
CoRR, 2020

A Kernel Two-sample Test for Dynamical Systems.
CoRR, 2020

Event-triggered learning.
Autom., 2020

Online learning with stability guarantees: A memory-based warm starting for real-time MPC.
Autom., 2020

Learning Constrained Dynamics with Gauss' Principle adhering Gaussian Processes.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Actively Learning Gaussian Process Dynamics.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Resource-Aware IoT Control: Saving Communication Through Predictive Triggering.
IEEE Internet Things J., 2019

Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control.
CoRR, 2019

Event-triggered Learning for Linear Quadratic Control.
CoRR, 2019

Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems.
CoRR, 2019

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.
CoRR, 2019

Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems.
CoRR, 2019

Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

Trajectory-Based Off-Policy Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Feedback control goes wireless: guaranteed stability over low-power multi-hop networks.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Data-driven inference of passivity properties via Gaussian process optimization.
Proceedings of the 17th European Control Conference, 2019

A Learnable Safety Measure.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Event-triggered Pulse Control with Model Learning (if Necessary).
Proceedings of the 2019 American Control Conference, 2019

2018
Distributed Event-Based State Estimation for Networked Systems: An LMI Approach.
IEEE Trans. Autom. Control., 2018

Learning an Approximate Model Predictive Controller With Guarantees.
IEEE Control. Syst. Lett., 2018

Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study.
CoRR, 2018

A Local Information Criterion for Dynamical Systems.
CoRR, 2018

Minimum Information Exchange in Distributed Systems.
CoRR, 2018

Gait Learning for Soft Microrobots Controlled by Light Fields.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Probabilistic Recurrent State-Space Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

Evaluating Low-Power Wireless Cyber-Physical Systems.
Proceedings of the Workshop on Benchmarking Cyber-Physical Networks and Systems, 2018

Efficient Encoding of Dynamical Systems Through Local Approximations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Deep Reinforcement Learning for Event-Triggered Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Event-Triggered Learning for Resource-Efficient Networked Control.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Event-based State Estimation: An Emulation-based Approach.
CoRR, 2017

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Model-based policy search for automatic tuning of multivariate PID controllers.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Optimizing Long-term Predictions for Model-based Policy Search.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

On the design of LQR kernels for efficient controller learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
A new perspective and extension of the Gaussian Filter.
Int. J. Robotics Res., 2016

Communication rate analysis for event-based state estimation.
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016

Automatic LQR tuning based on Gaussian process global optimization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Depth-based object tracking using a Robust Gaussian Filter.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Predictive and self triggering for event-based state estimation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Robust Gaussian filtering using a pseudo measurement.
Proceedings of the 2016 American Control Conference, 2016

2015
Robust Gaussian Filtering.
CoRR, 2015

Distributed Event-based State Estimation.
CoRR, 2015

A New Perspective and Extension of the Gaussian Filter.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Event-based estimation and control for remote robot operation with reduced communication.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

On the choice of the event trigger in event-based estimation.
Proceedings of the International Conference on Event-based Control, 2015

Guaranteed ℋ2 performance in distributed event-based state estimation.
Proceedings of the International Conference on Event-based Control, 2015

LMI-based synthesis for distributed event-based state estimation.
Proceedings of the American Control Conference, 2015

2014
Event-Based State Estimation With Variance-Based Triggering.
IEEE Trans. Autom. Control., 2014

A Limiting Property of the Matrix Exponential.
IEEE Trans. Autom. Control., 2014

Stability analysis of distributed event-based state estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2011
Reduced communication state estimation for control of an unstable networked control system.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
A limiting property of the matrix exponential with application to multi-loop control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
Less conservative polytopic LPV models for charge control by combining parameter set mapping and set intersection.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


  Loading...