Search Results - "Wermter, Stefan"

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition by Tsironi, Eleni, Barros, Pablo, Weber, Cornelius, Wermter, Stefan

“…In this research, we analyze a Convolutional Long Short-Term Memory Recurrent Neural Network (CNNLSTM) in the context of gesture recognition. CNNLSTMs are able…”
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Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization by Parisi, German I, Tani, Jun, Weber, Cornelius, Wermter, Stefan

“…Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods…”
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Lifelong learning of human actions with deep neural network self-organization by Parisi, German I., Tani, Jun, Weber, Cornelius, Wermter, Stefan

“…Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural…”
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Developing crossmodal expression recognition based on a deep neural model by Barros, Pablo, Wermter, Stefan

“…A robot capable of understanding emotion expressions can increase its own capability of solving problems by using emotion expressions as part of its own…”
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Interactive natural language acquisition in a multi-modal recurrent neural architecture by Heinrich, Stefan, Wermter, Stefan

“…For the complex human brain that enables us to communicate in natural language, we gathered good understandings of principles underlying language acquisition…”
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Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot by Duczek, Nicolas, Kerzel, Matthias, Allgeuer, Philipp, Wermter, Stefan

“…We propose a neural learning approach for a humanoid exercise robot that can automatically analyze and correct physical exercises. Such an exercise robot…”
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Affect-Driven Learning of Robot Behaviour for Collaborative Human-Robot Interactions by Churamani, Nikhil, Barros, Pablo, Gunes, Hatice, Wermter, Stefan

“…Collaborative interactions require social robots to share the users' perspective on the interactions and adapt to the dynamics of their affective behaviour…”
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Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles by Liew, Wei Shiung, Loo, Chu Kiong, Wermter, Stefan

“…There is a growing demand for explainability in complex artificial intelligence solutions to support critical applications' decision-making processes. Barriers…”
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Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot by Logacjov, Aleksej, Kerzel, Matthias, Wermter, Stefan

“…Long-term human-robot interaction requires the continuous acquisition of knowledge. This ability is referred to as lifelong learning (LL). LL is a…”
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Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning by Hafez, Muhammad Burhan, Immisch, Tilman, Weber, Tom, Wermter, Stefan

“…Deep reinforcement learning (RL) agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when…”
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Self-organizing neural integration of pose-motion features for human action recognition by Parisi, German I, Weber, Cornelius, Wermter, Stefan

“…The visual recognition of complex, articulated human movements is fundamental for a wide range of artificial systems oriented toward human-robot communication,…”
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Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input by Özdemir, Ozan, Kerzel, Matthias, Weber, Cornelius, Lee, Jae Hee, Hafez, Muhammad Burhan, Bruns, Patrick, Wermter, Stefan

“…Human infant learning happens during exploration of the environment, by interaction with objects, and by listening to and repeating utterances casually, which…”
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From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving by Eppe, Manfred, Nguyen, Phuong D H, Wermter, Stefan

“…Reinforcement learning is generally accepted to be an appropriate and successful method to learn robot control. Symbolic action planning is useful to resolve…”
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Pain recognition and pain empathy from a human-centered AI perspective by Cao, Siqi, Fu, Di, Yang, Xu, Wermter, Stefan, Liu, Xun, Wu, Haiyan

“…Sensory and emotional experiences are essential for mental and physical well-being, especially within the realm of psychiatry. This article highlights recent…”
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Crossmodal Language Grounding in an Embodied Neurocognitive Model by Heinrich, Stefan, Yao, Yuan, Hinz, Tobias, Liu, Zhiyuan, Hummel, Thomas, Kerzel, Matthias, Weber, Cornelius, Wermter, Stefan

“…Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other…”
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The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review by Röder, Frank, Özdemir, Ozan, Nguyen, Phuong D H, Wermter, Stefan, Eppe, Manfred

“…Human language is inherently embodied and grounded in sensorimotor representations of the self and the world around it. This suggests that the body schema and…”
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Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans by Kerzel, Matthias, Pekarek-Rosin, Theresa, Strahl, Erik, Heinrich, Stefan, Wermter, Stefan

“…To overcome novel challenges in complex domestic environments, humanoid robots can learn from human teachers. We propose that the capability for social…”
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Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning by Hafez, Muhammad Burhan, Weber, Cornelius, Kerzel, Matthias, Wermter, Stefan

“…In this paper, we present a new intrinsically motivated actor-critic algorithm for learning continuous motor skills directly from raw visual input. Our neural…”
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What Can Computational Models Learn From Human Selective Attention? A Review From an Audiovisual Unimodal and Crossmodal Perspective by Fu, Di, Weber, Cornelius, Yang, Guochun, Kerzel, Matthias, Nan, Weizhi, Barros, Pablo, Wu, Haiyan, Liu, Xun, Wermter, Stefan

“…Selective attention plays an essential role in information acquisition and utilization from the environment. In the past 50 years, research on selective…”
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NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation by Kerzel, Matthias, Allgeuer, Philipp, Strahl, Erik, Frick, Nicolas, Habekost, Jan-Gerrit, Eppe, Manfred, Wermter, Stefan

“…Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms…”
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