Staff

Melvin Laux, M.Sc.

Organization : DFKI GmbH & Universität Bremen
Area : Robotics Innovation Center
Status : Staff
Room HB : B 3.15
Address HB : Robert-Hooke-Str. 1
28359 Bremen
Phone HB : +49 421 17845 6637
Write an email


Publications

2026

DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding
Yuhan Jin, Nayari Lessa, Mariela De Lucas Alvarez, Melvin Laux, Lucas Amparo, Frank Kirchner, Rebecca Adam
In Oceans 2026 Sanya, (OCEANS-2026), 25.5.-28.5.2026, Sanya, China, IEEE, May/2026.
Artificial Intelligence for Planetary Exploration: Lessons Learned from a Decade of Analog Field Tests
Steffen Planthaber, Udo Frese, Wiebke Brinkmann, Raúl Domínguez, Melvin Laux, Mehmed Yüksel, Andreas Bresser, Frank Kirchner
In Engineering Proceedings, MDPI, volume 133, number 1, pages 1-10, May/2026.
Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
Melvin Laux, Yi-Ling Liu, Rina Alo, Sören Töpper, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam
In Oceans 2026 Sanya, (OCEANS-2026), 25.5.-28.5.2026, Sanya, China, IEEE, pages 1-9, May/2026.
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam
In Oceans 2026 Sanya, (OCEANS-2026), 25.5.-28.5.2026, Sanya, China, IEEE, pages 1-8, May/2026.

2025

Enhancing Heterogeneous Multi-Robot Teaming for Planetary Exploration
Amrita Suresh, Melvin Laux, Wiebke Brinkmann, Leon Cedric Danter, Frank Kirchner
Editors: Spiros Pantelakis, Andreas Strohmayer, Nikolaos Michailidis
In Engineering Proceedings, MDPI, volume 90, pages 1-9, May/2025.
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
Luis Octavio Arriaga Camargo, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner
Editors: Leilani Gilpin, Eleonora Giunchiglia, Pascal Hitzler, Emile van Krieken
In Neurosymbolic Artificial Intelligence, IOS Press, volume -, pages 1-19, 2025.

2023

Grasping 3D Deformable Objects via Reinforcement Learning: A Benchmark and Evaluation
Melvin Laux, Chandandeep Singh, Alexander Fabisch
In 3rd Workshop on Representing and Manipulating Deformable Objects @ ICRA2023, (ICRA-2023), 29.5.-29.5.2023, London, ICRA, May/2023.

2022

A Modular Approach to the Embodiment of Hand Motions from Human Demonstrations
Alexander Fabisch, Manuela Uliano, Dennis Marschner, Melvin Laux, Johannes Brust, Marco Controzzi
In Proceedings of the IEEE-RAS International Conference on Humanoid Robots, (Humanoids-2022), 28.11.-30.11.2022, Ginowan, IEEE, 2022. IEEE-RAS.

2020

Deep Adversarial Reinforcement Learning for Object Disentangling
Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
In IEEE/RSJ International Conference on Intelligent Robots and Systems, (IROS-2020), 24.10.-24.1.2021, Las Vegas, NV, IEEE, pages 5504-5510, 2020.


Back to the staff overview
© DFKI GmbH
last updated 12.01.2024