93 citations · 123 across the 28 of their papers we have counts for
5 papers · 1 filter
Hierarchical principles of embodied reinforcement learning: A review
Manfred Eppe, Christian Gumbsch, Matthias Kerzel +3
Cognitive Psychology and related disciplines have identified several critical mechanisms that enable intelligent biological agents to learn to solve complex problems. There exists…
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Matthias Kerzel, Fares Abawi, Manfred Eppe +1
We present a follow-up study on our unified visuomotor neural model for the robotic tasks of identifying, localizing, and grasping a target object in a scene with multiple objects.…
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Stefan Heinrich, Yuan Yao, Tobias Hinz +5
Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other cognitive functions a…
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Fatai Sado, Chu Kiong Loo, Wei Shiung Liew +2
Recent applications of autonomous agents and robots, such as self-driving cars, scenario-based trainers, exploration robots, and service robots have brought attention to crucial tr…
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel +1
Combining model-based and model-free learning systems has been shown to improve the sample efficiency of learning to perform complex robotic tasks. However, dual-system approaches…