Johannes Huemer

According to our database, Johannes Huemer authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Build on Priors: Vision-Language-Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation.

Pierrick Lorang, Johannes Huemer, Timothy R. Duggan, Kai Göbel, Patrik Zips, Matthias Scheutz

CoRR, April, 2026

A Collision-Free Sway Damping Model Predictive Controller for Safe and Reactive Forestry Crane Navigation.

Marc-Philip Ecker, Christoph Fröhlich, Johannes Huemer, David Gruber, Bernhard Bischof, Tobias Glück, Wolfgang Kemmetmüller

CoRR, February, 2026

PIRATR: Parametric Object Inference for Robotic Applications with Transformers in 3D Point Clouds.

Michael Schwingshackl, Fabio Francisco Oberweger, Mario Niedermeyer, Johannes Huemer, Markus Murschitz

CoRR, February, 2026

2025

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting.

Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz

CoRR, August, 2025

Lang2Lift: A Framework for Language-Guided Pallet Detection and Pose Estimation Integrated in Autonomous Outdoor Forklift Operation.

Huy Hoang Nguyen, Johannes Huemer, Markus Murschitz, Tobias Glück, Minh Nhat Vu, Andreas Kugi

CoRR, August, 2025

ADAPT: An Autonomous Forklift for Construction Site Operation.

Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips

CoRR, March, 2025

2023

Automated pallet handling via occlusion-robust recognition learned from synthetic data.

Csaba Beleznai, Marcel Zeilinger, Johannes Huemer, Wolfgang Pointner, Sebastian Wimmer, Patrik Zips

Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Joint Camera and LiDAR Risk Analysis.

Oliver Zendel, Johannes Huemer, Markus Murschitz, Gustavo Fernández Domínguez, Amadeus Lobe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Multi-Dimensional Control Performance Assessment for Mechatronic Closed-Loop Systems.

Johannes Huemer, Markus Gurtner, Patrik Zips, Adrian Trachte, Andreas Kugi

Proceedings of the 2021 European Control Conference, 2021