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2020 – today
- 2021
[j2]Andrew Melnik, Luca Lach
, Matthias Plappert, Timo Korthals, Robert Haschke, Helge J. Ritter:
Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers Robotics AI 8: 538773 (2021)- [c19]Luca Lach, Timo Korthals, Francesco Ferro, Helge J. Ritter, Malte Schilling:
Guiding Representation Learning in Deep Generative Models with Policy Gradients. OLA 2021: 115-131 - 2020
- [c18]Malte Schilling, Kai Konen, Timo Korthals:
Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. BioRob 2020: 946-953 - [c17]Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals:
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. IROS 2020: 5335-5342 - [c16]Nicolas Bach, Andrew Melnik, Malte Schilling, Timo Korthals, Helge J. Ritter:
Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. LOD (2) 2020: 631-644 - [i6]Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals:
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. CoRR abs/2005.11164 (2020)
2010 – 2019
- 2019
- [c15]Timo Korthals, Daniel Wolf, Daniel Rudolph, Marc Hesse, Ulrich Rückert:
Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. ECMR 2019: 1-6 - [c14]Timo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert:
Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. FUSION 2019: 1-8 - [c13]Timo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert:
Multi-Modal Generative Models for Learning Epistemic Active Sensing. ICRA 2019: 3319-3325 - [c12]Cung Lian Sang, Michael Adams, Timo Korthals, Timm Hörmann, Marc Hesse, Ulrich Rückert:
A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method. IPIN 2019: 1-8 - [c11]Jonas Dominik Homburg, Michael Adams, Michael Thies, Timo Korthals, Marc Hesse, Ulrich Rückert:
Constraint Exploration of Convolutional Network Architectures with Neuroevolution. IWANN (2) 2019: 735-746 - [c10]Cung Lian Sang, Michael Adams, Marc Hesse, Timm Hörmann, Timo Korthals, Ulrich Rückert:
A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data. WPNC 2019: 1-6 - [i5]Timo Korthals:
M2VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. CoRR abs/1903.07303 (2019) - [i4]Timo Korthals, Malte Schilling, Jürgen Leitner:
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. CoRR abs/1911.00584 (2019) - 2018
- [j1]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert:
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers Robotics AI 5: 28 (2018) - [c9]Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert:
Generic Architecture for Modular Real-time Systems in Robotics. ICINCO (2) 2018: 413-420 - [c8]Thomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert:
AMiRo: A Mini Robot as Versatile Teaching Platform. RiE 2018: 177-188 - [i3]Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse:
Path Evaluation via HMM on Semantical Occupancy Grid Maps. CoRR abs/1805.02944 (2018) - [i2]Timo Korthals, Mikkel Kragh Hansen, Peter Christiansen, Ulrich Rückert:
Towards Inverse Sensor Mapping in Agriculture. CoRR abs/1805.08595 (2018) - [i1]Timo Korthals, Jürgen Leitner, Ulrich Rückert:
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. CoRR abs/1809.04558 (2018) - 2017
- [c7]Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse:
Semantical occupancy grid mapping framework. ECMR 2017: 1-8 - 2016
- [c6]Timo Korthals, Andreas Skiba, Thilo Krause, Thorsten Jungeblut:
Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte. GIL Jahrestagung 2016: 97-100 - [c5]Timo Korthals, Marvin Barther, Thomas Schöpping, Stefan Herbrechtsmeier, Ulrich Rückert:
Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters. ICINCO (2) 2016: 192-200 - [c4]Sebastian Meyer zu Borgsen, Timo Korthals, Florian Lier, Sven Wachsmuth:
ToBI - Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-robotics in RoboCup@Home. RoboCup 2016: 577-588 - 2015
- [c3]Thomas Schöpping, Timo Korthals, Stefan Herbrechtsmeier, Ulrich Rückert:
AMiRo: A Mini Robot for Scientific Applications. IWANN (1) 2015: 199-205 - [c2]Timo Korthals, Thilo Krause, Ulrich Rückert:
Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. ML4CPS 2015: 9-14 - 2013
- [c1]Oliver Walter, Timo Korthals, Reinhold Haeb-Umbach, Bhiksha Raj:
A hierarchical system for word discovery exploiting DTW-based initialization. ASRU 2013: 386-391
Coauthor Index
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