Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

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BibTeX

Intelligent Control Systems Conference Paper Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources Haksar, R., Solowjow, F., Trimpe, S., Schwager, M. In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) , :1315-1322, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (Published) PDF BibTeX

Intelligent Control Systems Article Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees Baumann, D., Mager, F., Jacob, R., Thiele, L., Zimmerling, M., Trimpe, S. ACM Transactions on Cyber-Physical Systems, 4(2):18, November 2019 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Conference Paper Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems Mastrangelo, J. M., Baumann, D., Trimpe, S. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, :79-84, 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), September 2019 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Conference Paper Event-triggered Pulse Control with Model Learning (if Necessary) Baumann, D., Solowjow, F., Johansson, K. H., Trimpe, S. In Proceedings of the American Control Conference, :792-797, American Control Conference (ACC), July 2019 (Published) arXiv PDF BibTeX

Intelligent Control Systems Conference Paper Data-driven inference of passivity properties via Gaussian process optimization Romer, A., Trimpe, S., Allgöwer, F. In Proceedings of the European Control Conference, European Control Conference (ECC), June 2019 (Published) PDF BibTeX

Intelligent Control Systems Article Resource-aware IoT Control: Saving Communication through Predictive Triggering Trimpe, S., Baumann, D. IEEE Internet of Things Journal, 6(3):5013-5028, June 2019 (Published) PDF arXiv DOI BibTeX

Intelligent Control Systems Conference Paper Trajectory-Based Off-Policy Deep Reinforcement Learning Doerr, A., Volpp, M., Toussaint, M., Trimpe, S., Daniel, C. In Proceedings of the International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), June 2019 (Published) arXiv PDF BibTeX

Intelligent Control Systems Poster Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M. Proceedings of the 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), :340-341, 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 2019 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Conference Paper Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M. In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, :97-108, 10th ACM/IEEE International Conference on Cyber-Physical Systems, April 2019 (Published) arXiv PDF DOI BibTeX

Intelligent Control Systems Ph.D. Thesis Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems Baumann, D. KTH Royal Institute of Technology, Stockholm, February 2019 (Published) PDF BibTeX

Intelligent Control Systems Article Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control Duecker, D. A., Geist, A. R., Kreuzer, E., Solowjow, E. Sensors, 19, 2019 (Published) URL BibTeX

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