34 citations · 34 across the 2 of their papers we have counts for
13 papers
Drone-based Volume Estimation in Indoor Environments
Samuel Balula, Dominic Liao-McPherson, Stefan Stevšić +2
Volume estimation in large indoor spaces is an important challenge in robotic inspection of industrial warehouses. We propose an approach for volume estimation for autonomous syste…
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements
Xavier Guidetti, Marino Kühne, Yannick Nagel +3
The tuning of fused filament fabrication parameters is notoriously challenging. We propose an autonomous data-driven method to select parameters based on in situ measurements. We u…
Controller-Aware Dynamic Network Management for Industry 4.0
Efe C. Balta, Mohammad H. Mamduhi, John Lygeros +1
In this paper, we consider a cyber-physical manufacturing system (CPMS) scenario containing physical components (robots, sensors, and actuators), operating in a digitally connected…
On Robustness in Optimization-Based Constrained Iterative Learning Control
Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan +1
Iterative learning control (ILC) is a control strategy for repetitive tasks wherein information from previous runs is leveraged to improve future performance. Optimization-based IL…
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
Christopher König, Matteo Turchetta, John Lygeros +2
Adaptive control approaches yield high-performance controllers when a precise system model or suitable parametrizations of the controller are available. Existing data-driven approa…
Learning from Simulation, Racing in Reality
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan +2
We present a reinforcement learning-based solution to autonomously race on a miniature race car platform. We show that a policy that is trained purely in simulation using a relativ…