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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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03/08/2023
AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments
This paper presents a scalable online algorithm to generate safe and kin...
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02/03/2023
MetaOpera: A Cross-Metaverse Interoperability Protocol
With the rapid evolution of metaverse technologies, numerous metaverse a...
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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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12/07/2021
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
As robots venture into the real world, they are subject to unmodeled dyn...
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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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09/30/2021
Fly Out The Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight
Current control design for fast vision-based flight tends to rely on hig...
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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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03/03/2021
Learning to Fly – a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Robotic simulators are crucial for academic research and education as we...
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06/29/2020
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
In the robotics literature, experience transfer has been proposed in dif...
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03/29/2020
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots
In the robotics literature, different knowledge transfer approaches have...
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12/24/2019
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants
Deep neural networks (DNNs) have emerged as a popular mathematical tool ...
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03/30/2019