A hierarchical system for word discovery exploiting DTW-based initialization. - Oliver Walter; Timo Korthals; Reinhold Haeb-Umbach; Bhiksha Raj (ASRU, 2013)

AMiRo: A Mini Robot for Scientific Applications. - Thomas Schöpping; Timo Korthals; Stefan Herbrechtsmeier; Ulrich Rückert 001 (IWANN (1), 2015)

Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. - Timo Korthals; Thilo Krause; Ulrich Rückert 001 (ML4CPS, 2015)

Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte. - Timo Korthals; Andreas Skiba; Thilo Krause; Thorsten Jungeblut (GIL Jahrestagung, 2016)

Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters. - Timo Korthals; Marvin Barther; Thomas Schöpping; Stefan Herbrechtsmeier; Ulrich Rückert 001 (ICINCO (2), 2016)

ToBI - Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-robotics in RoboCup@Home. - Sebastian Meyer zu Borgsen; Timo Korthals; Florian Lier; Sven Wachsmuth (RoboCup, 2016)

Semantical occupancy grid mapping framework. - Timo Korthals; Julian Exner; Thomas Schöpping; Marc Hesse (ECMR, 2017)

Generic Architecture for Modular Real-time Systems in Robotics. - Thomas Schöpping; Timo Korthals; Marc Hesse; Ulrich Rückert 001 (ICINCO (2), 2018)

AMiRo: A Mini Robot as Versatile Teaching Platform. - Thomas Schöpping; Timo Korthals; Marc Hesse; Ulrich Rückert 001 (RiE, 2018)

Path Evaluation via HMM on Semantical Occupancy Grid Maps. - Timo Korthals; Julian Exner; Thomas Schöpping; Marc Hesse (CoRR, 2018)

Towards Inverse Sensor Mapping in Agriculture. - Timo Korthals; Mikkel Kragh Hansen; Peter Christiansen; Ulrich Rückert 001 (CoRR, 2018)

Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. - Timo Korthals; Jürgen Leitner; Ulrich Rückert 001 (CoRR, 2018)

Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. - Timo Korthals; Mikkel Kragh Hansen; Peter Christiansen; Henrik Karstoft; Rasmus N. Jørgensen; Ulrich Rückert 001 (Frontiers Robotics AI, 2018)

Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. - Timo Korthals; Daniel Wolf; Daniel Rudolph; Marc Hesse; Ulrich Rückert 001 (ECMR, 2019)

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. - Timo Korthals; Marc Hesse; Jürgen Leitner; Andrew Melnik; Ulrich Rückert 001 (FUSION, 2019)

Multi-Modal Generative Models for Learning Epistemic Active Sensing. - Timo Korthals; Daniel Rudolph; Jürgen Leitner; Marc Hesse; Ulrich Rückert 001 (ICRA, 2019)

A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method. - Cung Lian Sang; Michael Adams 002; Timo Korthals; Timm Hörmann; Marc Hesse; Ulrich Rückert 001 (IPIN, 2019)

Constraint Exploration of Convolutional Network Architectures with Neuroevolution. - Jonas Dominik Homburg; Michael Adams 002; Michael Thies; Timo Korthals; Marc Hesse; Ulrich Rückert 001 (IWANN (2), 2019)

A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data. - Cung Lian Sang; Michael Adams 002; Marc Hesse; Timm Hörmann; Timo Korthals; Ulrich Rückert 001 (WPNC, 2019)

M2VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. - Timo Korthals (CoRR, 2019)

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. - Timo Korthals; Malte Schilling; Jürgen Leitner (CoRR, 2019)

Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. - Malte Schilling; Kai Konen; Timo Korthals (BioRob, 2020)

Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. - Malte Schilling; Kai Konen; Frank W. Ohl; Timo Korthals (IROS, 2020)

Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. - Nicolas Bach; Andrew Melnik; Malte Schilling; Timo Korthals; Helge J. Ritter (LOD (2), 2020)

Guiding Representation Learning in Deep Generative Models with Policy Gradients. - Luca Lach; Timo Korthals; Francesco Ferro; Helge J. Ritter; Malte Schilling (OLA, 2021)

Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. - Andrew Melnik; Luca Lach; Matthias Plappert; Timo Korthals; Robert Haschke; Helge J. Ritter (Frontiers Robotics AI, 2021)

Syclops: A Modular Pipeline for Procedural Generation of Synthetic Data. - Anton Elmiger; Kai von Szadkowski; Timo Korthals (J. Open Source Softw., 2025)