Timo Korthals

According to our database, Timo Korthals authored at least 26 papers between 2013 and 2021.

Collaborative distances:

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

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

Guiding Representation Learning in Deep Generative Models with Policy Gradients.

Luca Lach, Timo Korthals, Francesco Ferro, Helge J. Ritter, Malte Schilling

Proceedings of the Optimization and Learning - 4th International Conference, 2021

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

Proceedings of the Machine Learning, Optimization, and Data Science, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot.

Malte Schilling, Kai Konen, Timo Korthals

Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.

Timo Korthals, Malte Schilling, Jürgen Leitner

CoRR, 2019

M²VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood.

Timo Korthals

CoRR, 2019

A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data.

Cung Lian Sang, Michael Adams, Marc Hesse, Timm Hörmann, Timo Korthals, Ulrich Rückert

Proceedings of the 16th Workshop on Positioning, Navigation and Communications, 2019

Constraint Exploration of Convolutional Network Architectures with Neuroevolution.

Jonas Dominik Homburg, Michael Adams, Michael Thies, Timo Korthals, Marc Hesse, Ulrich Rückert

Proceedings of the Advances in Computational Intelligence, 2019

A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method.

Cung Lian Sang, Michael Adams, Timo Korthals, Timm Hörmann, Marc Hesse, Ulrich Rückert

Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

Multi-Modal Generative Models for Learning Epistemic Active Sensing.

Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert

Proceedings of the International Conference on Robotics and Automation, 2019

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion.

Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert

Proceedings of the 22th International Conference on Information Fusion, 2019

Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform.

Timo Korthals, Daniel Wolf, Daniel Rudolph, Marc Hesse, Ulrich Rückert

Proceedings of the 2019 European Conference on Mobile Robots, 2019

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

Frontiers Robotics AI, 2018

Coordinated Heterogeneous Distributed Perception based on Latent Space Representation.

Timo Korthals, Jürgen Leitner, Ulrich Rückert

CoRR, 2018

Towards Inverse Sensor Mapping in Agriculture.

Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert

CoRR, 2018

Path Evaluation via HMM on Semantical Occupancy Grid Maps.

Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse

CoRR, 2018

AMiRo: A Mini Robot as Versatile Teaching Platform.

Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert

Proceedings of the Robotics in Education, 2018

Generic Architecture for Modular Real-time Systems in Robotics.

Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert

Proceedings of the 15th International Conference on Informatics in Control, 2018

2017

Semantical occupancy grid mapping framework.

Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse

Proceedings of the 2017 European Conference on Mobile Robots, 2017

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

Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters.

Timo Korthals, Marvin Barther, Thomas Schöpping, Stefan Herbrechtsmeier, Ulrich Rückert

Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), 2016

Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte.

Timo Korthals, Andreas Skiba, Thilo Krause, Thorsten Jungeblut

Proceedings of the Informatik in der Land-, Forst- und Ernährungswirtschaft, Fokus: Intelligente Systeme, 2016

2015

Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks.

Timo Korthals, Thilo Krause, Ulrich Rückert

Proceedings of the Machine Learning for Cyber Physical Systems, 2015

AMiRo: A Mini Robot for Scientific Applications.

Thomas Schöpping, Timo Korthals, Stefan Herbrechtsmeier, Ulrich Rückert

Proceedings of the Advances in Computational Intelligence, 2015

2013

A hierarchical system for word discovery exploiting DTW-based initialization.

Oliver Walter, Timo Korthals, Reinhold Haeb-Umbach, Bhiksha Raj

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013