most citedIntelligent problem-solving as integrated hierarchical reinforcement learning

93 citations · 96 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023

CycleIK: Neuro-inspired Inverse Kinematics

Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer +2

The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) task, a Generative Adversarial Network (GAN), and…

cs.RO2023

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification

Josua Spisak, Matthias Kerzel, Stefan Wermter

Multimodal integration is a key component of allowing robots to perceive the world. Multimodality comes with multiple challenges that have to be considered, such as how to integrat…

cs.CL20231 cited

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input

Ozan Özdemir, Matthias Kerzel, Cornelius Weber +4

Human infant learning happens during exploration of the environment, by interaction with objects, and by listening to and repeating utterances casually, which is analogous to unsup…

cs.AI202293 cited

Intelligent problem-solving as integrated hierarchical reinforcement learning

Manfred Eppe, Christian Gumbsch, Matthias Kerzel +3

According to cognitive psychology and related disciplines, the development of complex problem-solving behaviour in biological agents depends on hierarchical cognitive mechanisms. H…

cs.CV2022

Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning

Kyra Ahrens, Matthias Kerzel, Jae Hee Lee +2

Spatial reasoning poses a particular challenge for intelligent agents and is at the same time a prerequisite for their successful interaction and communication in the physical worl…

cs.RO20222 cited

Learning Flexible Translation between Robot Actions and Language Descriptions

Ozan Özdemir, Matthias Kerzel, Cornelius Weber +2

Handling various robot action-language translation tasks flexibly is an essential requirement for natural interaction between a robot and a human. Previous approaches require chang…