What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities

1 code implementation • 19 Aug 2023 • SiQi Zhou, Lukas Brunke, Allen Tao, Adam W. Hall, Federico Pizarro Bejarano, Jacopo Panerati, Angela P. Schoellig

Open-sourcing research publications is a key enabler for the reproducibility of studies and the collective scientific progress of a research community.

Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter

1 code implementation • 20 Jul 2023 • Adam W. Hall, Melissa Greeff, Angela P. Schoellig

This safety filter is then used to refine inputs from a flat model predictive controller to perform constrained nonlinear learning-based optimal control through two successive convex optimizations.

Computational Efficiency Model Predictive Control

safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics

4 code implementations • 13 Sep 2021 • Zhaocong Yuan, Adam W. Hall, SiQi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig

In recent years, both reinforcement learning and learning-based control -- as well as the study of their safety, which is crucial for deployment in real-world robots -- have gained significant traction.

reinforcement-learning Reinforcement Learning (RL)

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

4 code implementations • 13 Aug 2021 • Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, SiQi Zhou, Jacopo Panerati, Angela P. Schoellig

The last half-decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities.

Decision Making reinforcement-learning +2