Lukasz L. Pietrasik — accepted AI-conference papers

2023

PLASTR: Planning for Autonomous Sampling-Based Trowelling

Mads A. Kuhlmann-Jørgensen, Johannes Pankert, Lukasz L. Pietrasik, Marco Hutter

RA-L 2023

Plaster is commonly used in the construction industry to finish walls and ceilings, but the application is labor-intensive and physically strenuous, which motivates the need for automation. We present PLASTR, a receding horizon optimization-based planning algorithm for robotic plaster trowelling. It

Cited by 3 Source ↗Scholar ↗

2022

Design and Motion Planning for a Reconfigurable Robotic Base

Johannes Pankert, Giorgio Valsecchi, Davide Baret, Jon Zehnder, Lukasz L. Pietrasik, Marko Bjelonic +1

RA-L 2022

A robotic platform for mobile manipulation needs to satisfy two contradicting requirements for many real-world applications: A compact base is required to navigate through cluttered indoor environments, while the support needs to be large enough to prevent tumbling or tip over, especially during fas

Cited by 10 Source ↗code ↗Scholar ↗