Michael Muehlebach

CoRR, 2024

Bi-Level Motion Imitation for Humanoid Robots.

[BibT_eX]

[DOI]

CoRR, 2024

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering.

[BibT_eX]

[DOI]

Klaus-Rudolf Kladny

Bernhard Schölkopf

CoRR, 2024

A Pontryagin Perspective on Reinforcement Learning.

[BibT_eX]

[DOI]

Onno Eberhard

Claire Vernade

CoRR, 2024

Distributed Event-Based Learning via ADMM.

[BibT_eX]

[DOI]

Guner Dilsad Er

CoRR, 2024

Stochastic Online Optimization for Cyber-Physical and Robotic Systems.

[BibT_eX]

[DOI]

Hao Ma

Melanie N. Zeilinger

CoRR, 2024

Gray-Box Nonlinear Feedback Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Primal Methods for Variational Inequality Problems with Functional Constraints.

[BibT_eX]

[DOI]

Liang Zhang

Niao He

CoRR, 2024

Balancing a 3D Inverted Pendulum using Remote Magnetic Manipulation.

[BibT_eX]

[DOI]

Jasan Zughaibi

Bradley J. Nelson

CoRR, 2024

Towards a Systems Theory of Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XX, 2024

Conformal Performance Range Prediction for Segmentation Output Quality Control.

[BibT_eX]

[DOI]

Christian F. Baumgartner

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy.

[BibT_eX]

[DOI]

Christian F. Baumgartner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Reinforcement learning with model-based feedforward inputs for robotic table tennis.

[BibT_eX]

[DOI]

Auton. Robots, December, 2023

A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Decision-Making with Constraints and Dependent Losses: Performance Guarantees and Applications to Online and Nonlinear Identification.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerated First-Order Optimization under Nonlinear Constraints.

[BibT_eX]

[DOI]

CoRR, 2023

Causal effect estimation from observational and interventional data through matrix weighted linear estimators.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online Learning under Adversarial Nonlinear Constraints.

[BibT_eX]

[DOI]

Pavel Kolev

Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Dynamical Systems Perspective on Discrete Optimization.

[BibT_eX]

[DOI]

Tong Guanchun

Proceedings of the Learning for Dynamics and Control Conference, 2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis.

[BibT_eX]

[DOI]

IROS, 2023

Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report.

[BibT_eX]

[DOI]

CoRR, 2022

A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization.

[BibT_eX]

[DOI]

Aniket Das

Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

2020

Continuous-time Lower Bounds for Gradient-based Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

The Silver Ratio and its Relation to Controllability.

[BibT_eX]

[DOI]

CoRR, 2019

Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction.

[BibT_eX]

[DOI]

N. Benjamin Erichson

Michael W. Mahoney

CoRR, 2019

A Dynamical Systems Perspective on Nesterov Acceleration.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Accelerometer-Based Tilt Determination for Rigid Bodies With a Nonaccelerated Pivot Point.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2018

Distributed Event-Based State Estimation for Networked Systems: An LMI Approach.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Nonlinear Analysis and Control of a Reaction-Wheel-Based 3-D Inverted Pendulum.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2017

Implementation of a parametrized infinite-horizon model predictive control scheme with stability guarantees.

[BibT_eX]

[DOI]

Carmelo Sferrazza

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory tracking and iterative learning on an unmanned aerial vehicle using parametrized model predictive control.

[BibT_eX]

[DOI]

Carmelo Sferrazza

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Basis functions design for the approximation of constrained linear quadratic regulator problems encountered in model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Approximation of Continuous-Time Infinite-Horizon Optimal Control Problems Arising in Model Predictive Control - Supplementary Notes.

[BibT_eX]

[DOI]

CoRR, 2016

Application of an approximate model predictive control scheme on an unmanned aerial vehicle.

[BibT_eX]

[DOI]

Matthias Hofer

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Approximation of continuous-time infinite-horizon optimal control problems arising in model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Parametrized infinite-horizon model predictive control for linear time-invariant systems with input and state constraints.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Guaranteed ℋ2 performance in distributed event-based state estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Event-based Control, 2015

LMI-based synthesis for distributed event-based state estimation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2014

2013

The Cubli: A reaction wheel based 3D inverted pendulum.

[BibT_eX]

[DOI]

Mohanarajah Gajamohan

Tobias Widmer

Proceedings of the 12th European Control Conference, 2013

Nonlinear analysis and control of a reaction wheel-based 3D inverted pendulum.

[BibT_eX]

[DOI]

Gajamohan Mohanarajah