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09/20/2023
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon
Learning-based controllers have demonstrated superior performance compar...
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08/31/2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Shared benchmark problems have historically been a fundamental driver of...
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08/19/2023
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities
Open-sourcing research publications is a key enabler for the reproducibi...
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04/08/2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems
In this work, we consider the problem of designing a safety filter for a...
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10/01/2021
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
In this work we address the problem of performing a repetitive task when...
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09/13/2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning
In recent years, reinforcement learning and learning-based control – as ...
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08/13/2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
The last half-decade has seen a steep rise in the number of contribution...
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01/26/2021
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
Input perturbation methods occlude parts of an input to a function and m...
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05/02/2020