Interleaving Planning and Plan Execution with Incomplete Knowledge in the Event Calculus. - Manfred Eppe; Dominik Dietrich (STAIRS, 2012)

Towards Epistemic Planning Agents. - Manfred Eppe; Frank Dylla (ICAART (2), 2013)

Approximate Epistemic Planning with Postdiction as Answer-Set Programming. - Manfred Eppe; Mehul Bhatt; Frank Dylla (LPNMR, 2013)

Narrative based Postdictive Reasoning for Cognitive Robotics. - Manfred Eppe; Mehul Bhatt (CoRR, 2013)

h-approximation: History-Based Approximation of Possible World Semantics as ASP - Manfred Eppe; Mehul Bhatt; Frank Dylla (CoRR, 2013)

Postdictive reasoning in epistemic action theory. - Manfred Eppe (2013)

Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction. - Michael Spranger; Jakob Suchan; Mehul Bhatt; Manfred Eppe (PRICAI, 2014)

Upward Refinement for Conceptual Blending in Description Logic: An ASP-based Approach and Case Study in EL++. - Roberto Confalonieri 001; Marco Schorlemmer; Enric Plaza; Manfred Eppe; Oliver Kutz; Rafael Peñaloza (JOWO@IJCAI, 2015)

Computational Invention of Cadences and Chord Progressions by Conceptual Chord-Blending. - Manfred Eppe; Roberto Confalonieri 001; Ewen Maclean; Maximos A. Kaliakatsos-Papakostas; Emilios Cambouropoulos; W. Marco Schorlemmer; Mihai Codescu; Kai-Uwe Kühnberger (IJCAI, 2015)

ASP, Amalgamation, and the Conceptual Blending Workflow. - Manfred Eppe; Ewen Maclean; Roberto Confalonieri 001; Oliver Kutz; W. Marco Schorlemmer; Enric Plaza (LPNMR, 2015)

Approximate postdictive reasoning with answer set programming. - Manfred Eppe; Mehul Bhatt (J. Appl. Log., 2015)

A history based approximate epistemic action theory for efficient postdictive reasoning. - Manfred Eppe; Mehul Bhatt (J. Appl. Log., 2015)

Conceptual Blending in EL++. - Roberto Confalonieri 001; Marco Schorlemmer; Oliver Kutz; Rafael Peñaloza; Enric Plaza; Manfred Eppe (Description Logics, 2016)

Application-Independent and Integration-Friendly Natural Language Understanding. - Manfred Eppe; Sean Trott; Vivek Raghuram; Jerome A. Feldman; Adam Janin (GCAI, 2016)

Exploiting deep semantics and compositionality of natural language for Human-Robot-Interaction. - Manfred Eppe; Sean Trott; Jerome Feldman (IROS, 2016)

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. - Manfred Eppe; Matthias Kerzel; Sascha S. Griffiths; Hwei Geok Ng; Stefan Wermter (Humanoids, 2017)

Enabling Technologies for Concept Invention. - Roberto Confalonieri 001; Tarek R. Besold; Mihai Codescu; Manfred Eppe (Concept Invention, 2018)

An analysis of subtask-dependency in robot command interpretation with dilated CNNs. - Manfred Eppe; Tayfun Alpay; Fares Abawi; Stefan Wermter (ESANN, 2018)

Towards End-to-End Raw Audio Music Synthesis. - Manfred Eppe; Tayfun Alpay; Stefan Wermter (ICANN (3), 2018)

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. - Manfred Eppe; Matthias Kerzel; Erik Strahl; Stefan Wermter (IROS, 2018)

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. - Erik Strahl; Matthias Kerzel; Manfred Eppe; Sascha S. Griffiths; Stefan Wermter (IROS, 2018)

A computational framework for conceptual blending. - Manfred Eppe; Ewen Maclean; Roberto Confalonieri 001; Oliver Kutz; Marco Schorlemmer; Enric Plaza; Kai-Uwe Kühnberger (Artif. Intell., 2018)

Upward refinement operators for conceptual blending in the description logic ℰ ℒ++. - Roberto Confalonieri 001; Manfred Eppe; Marco Schorlemmer; Oliver Kutz; Rafael Peñaloza; Enric Plaza (Ann. Math. Artif. Intell., 2018)

Curriculum goal masking for continuous deep reinforcement learning. - Manfred Eppe; Sven Magg; Stefan Wermter (ICDL-EPIROB, 2019)

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. - Matthias Kerzel; Manfred Eppe; Stefan Heinrich; Fares Abawi; Stefan Wermter (ICDL-EPIROB, 2019)

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes. - Ahmed Marzouk; Pablo V. A. Barros; Manfred Eppe; Stefan Wermter (IJCNN, 2019)

From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (CoRR, 2019)

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. - Pablo V. A. Barros; Manfred Eppe; German Ignacio Parisi; Xun Liu 001; Stefan Wermter (Frontiers Robotics AI, 2019)

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. - Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (Frontiers Robotics AI, 2019)

Curious Hierarchical Actor-Critic Reinforcement Learning. - Frank Röder; Manfred Eppe; Phuong D. H. Nguyen; Stefan Wermter (ICANN (2), 2020)

Multimodal Object Analysis with Auditory and Tactile Sensing Using Recurrent Neural Networks. - Yannick Jonetzko; Niklas Fiedler; Manfred Eppe; Jianwei Zhang 001 (ICCSIP, 2020)

Reinforcement Learning with Time-dependent Goals for Robotic Musicians. - Thilo Fryen; Manfred Eppe; Phuong D. H. Nguyen; Timo Gerkmann; Stefan Wermter (CoRR, 2020)

Robotic self-representation improves manipulation skills and transfer learning. - Phuong D. H. Nguyen; Manfred Eppe; Stefan Wermter (CoRR, 2020)

Hierarchical principles of embodied reinforcement learning: A review. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (CoRR, 2020)

Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments. - Manfred Eppe; Pierre-Yves Oudeyer (CoRR, 2021)

Exercise with Social Robots: Companion or Coach? - Sascha S. Griffiths; Tayfun Alpay; Alexander Sutherland; Matthias Kerzel; Manfred Eppe; Erik Strahl; Stefan Wermter (CoRR, 2021)

Intelligent Behavior Depends on the Ecological Niche. - Manfred Eppe; Pierre-Yves Oudeyer (Künstliche Intell., 2021)

Developmental Robotics and its Role Towards Artificial General Intelligence. - Manfred Eppe; Stefan Wermter; Verena V. Hafner; Yukie Nagai (Künstliche Intell., 2021)

Sensorimotor Representation Learning for an "Active Self" in Robots: A Model Survey. - Phuong D. H. Nguyen; Yasmin Kim Georgie; Ezgi Kayhan; Manfred Eppe; Verena Vanessa Hafner; Stefan Wermter (Künstliche Intell., 2021)

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. - Frank Röder; Manfred Eppe; Stefan Wermter (ICDL, 2022)

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections. - Frank Röder; Manfred Eppe (CoRR, 2022)

Intelligent problem-solving as integrated hierarchical reinforcement learning. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (Nat. Mach. Intell., 2022)

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. - Matthias Kerzel; Fares Abawi; Manfred Eppe; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2022)

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. - Matthias Kerzel; Philipp Allgeuer; Erik Strahl; Nicolas Frick; Jan-Gerrit Habekost; Manfred Eppe; Stefan Wermter (IEEE Access, 2023)

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research. - Jan Dohmen; Frank Röder; Manfred Eppe (CoRR, 2024)

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research. - Jan Benad; Frank Röder; Manfred Eppe (SoftwareX, 2025)