Anthropomorphism as a pervasive design concept for a robotic assistant. - Ioannis Iossifidis; Christoph Theis; Claudia Grote; Christian Faubel; Gregor Schöner (IROS, 2003)

Autonomous Reaching and Obstacle Avoidance with the Anthropomorphic Arm of a Robotic Assistant using the Attractor Dynamics Approach. - Ioannis Iossifidis; Gregor Schöner (ICRA, 2004)

Dynamical Systems Approach for the Autonomous Avoidance of Obstacles and Joint-limits for an Redundant Robot Arm. - Ioannis Iossifidis; Gregor Schöner (IROS, 2006)

Towards a Driver Model: Preliminary Study of Lane Change Behavior. - Ürün Dogan; Johann Edelbrunner; Ioannis Iossifidis (ITSC, 2008)

Temporal stabilization of discrete movement in variable environments: An attractor dynamics approach. - Matthias Tuma; Ioannis Iossifidis; Gregor Schöner (ICRA, 2009)

Integrating orientation constraints into the attractor dynamics approach for autonomous manipulation. - Hendrik Reimann; Ioannis Iossifidis; Gregor Schöner (Humanoids, 2010)

Scenes and tracking with dynamic neural fields: How to update a robotic scene representation. - Stephan K. U. Zibner; Christian Faubel; Ioannis Iossifidis; Gregor Schöner; John P. Spencer (ICDL, 2010)

Generating collision free reaching movements for redundant manipulators using dynamical systems. - Hendrik Reimann; Ioannis Iossifidis; Gregor Schöner (IROS, 2010)

Behavioral Organization for Mobile Robotic Systems: An Attractor Dynamics Approach. - Matthias A. Grimm; Ioannis Iossifidis (ISR/ROBOTIK, 2010)

Using ego motion feedback to improve the immersion in virtual reality environments. - Sebastian Noth; Ioannis Iossifidis; Eva Schrowangen (ISR/ROBOTIK, 2010)

End-effector obstacle avoidance using multiple dynamic variables. - Hendrik Reimann; Ioannis Iossifidis; Gregor Schöner (ISR/ROBOTIK, 2010)

Scene Representation for Anthropomorphic Robots: A Dynamic Neural Field Approach. - Stephan K. U. Zibner; Christian Faubel; Ioannis Iossifidis; Gregor Schöner (ISR/ROBOTIK, 2010)

Natural human-robot interaction through spatial language: A Dynamic Neural Field approach. - Yulia Sandamirskaya; John Lipinski; Ioannis Iossifidis; Gregor Schöner (RO-MAN, 2010)

Autonomous movement generation for manipulators with multiple simultaneous constraints using the attractor dynamics approach. - Hendrik Reimann; Ioannis Iossifidis; Gregor Schöner (ICRA, 2011)

Autonomous driving: A comparison of machine learning techniques by means of the prediction of lane change behavior. - Ürün Dogan; Johann Edelbrunner; Ioannis Iossifidis (ROBIO, 2011)

Model-free local navigation for humanoid robots. - Ioannis Iossifidis; Darius Malysiak; Hendrik Reimann (ROBIO, 2011)

Simulated reality environment for development and assessment of cognitive robotic systems. - Sebastian Noth; Ioannis Iossifidis (ROBIO, 2011)

Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation. - Stephan K. U. Zibner; Christian Faubel; Ioannis Iossifidis; Gregor Schöner (IEEE Trans. Auton. Ment. Dev., 2011)

An integrated architecture for the development and assessment of ADAS. - Sebastian Noth; Johann Edelbrunner; Ioannis Iossifidis (ITSC, 2012)

A Versatile Simulated Reality Framework - From Embedded Components to ADAS. - Sebastian Noth; Johann Edelbrunner; Ioannis Iossifidis (PECCS, 2012)

Utilizing artificial skin for direct physical interaction. - Ioannis Iossifidis (ROBIO, 2013)

Motion constraint satisfaction by means of closed form solution for redundant robot arms. - Ioannis Iossifidis (ROBIO, 2013)

Modelling human arm motion through the attractor dynamics approach. - Iñaki Rañó; Ioannis Iossifidis (ROBIO, 2013)

Simulated Framework for the Development and Evaluation of Redundant Robotic Systems. - Ioannis Iossifidis (PECCS, 2014)

Development of a Haptic Interface for Safe Human Roobt Collaboration. - Ioannis Iossifidis (PECCS, 2014)

Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder. - Muhammad Ayaz Hussain; Muhammad Saif-ur-Rehman; Christian Klaes 001; Ioannis Iossifidis (ICBDC, 2020)

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. - Omair Ali; Muhammad Saif-ur-Rehman; Susanne Dyck; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (CoRR, 2020)

Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification. - Stephan Johann Lehmler; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis (CoRR, 2021)

Biologically Inspired Model for Timed Motion in Robotic Systems. - Sebastian Doliwa; Muhammad Ayaz Hussain; Tim Sziburis; Ioannis Iossifidis (BioRob, 2022)

Development of an Analog Front-End for Brain-Computer Interfaces. - Sebastian Doliwa; Andreas Erbslöh; Karsten Seidl; Ioannis Iossifidis (PRIME, 2022)

From Motion to Muscle. - Marie Dominique Schmidt; Tobias Glasmachers; Ioannis Iossifidis (CoRR, 2022)

ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces. - Omair Ali; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (CoRR, 2022)

Invariance to Quantile Selection in Distributional Continuous Control. - Felix Grün; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis (CoRR, 2022)

Adaptive SpikeDeep-Classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting. - Muhammad Saif-ur-Rehman; Omair Ali; Christian Klaes 001; Ioannis Iossifidis (CoRR, 2023)

Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes. - Stephan Johann Lehmler; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis (CoRR, 2023)

Advancements in Upper Body Exoskeleton: Implementing Active Gravity Compensation with a Feedforward Controller. - Muhammad Ayaz Hussain; Ioannis Iossifidis (CoRR, 2023)

Deep-learning-based identification of individual motion characteristics from upper-limb trajectories towards disorder stage evaluation. - Tim Sziburis; Susanne Blex; Tobias Glasmachers; Ioannis Iossifidis (CoRR, 2024)

Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots. - Artur Pilacinski; Lukas Christ; Marius Boshoff; Ioannis Iossifidis; Patrick Adler; Michael Miro; Bernd Kuhlenkötter; Christian Klaes 001 (Frontiers Neurorobotics, 2024)

Understanding activation patterns in artificial neural networks by exploring stochastic processes: Discriminating generalization from memorization. - Stephan Johann Lehmler; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis (Neurocomputing, 2024)

ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. - Omair Ali; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (Comput. Biol. Medicine, 2024)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces. - Aline Xavier Fidêncio; Felix Grün; Christian Klaes 001; Ioannis Iossifidis (CoRR, 2025)