Daniel Tanneberg

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Recurrent Networks

Online Learning

Top Venues

CHI Extended Abstracts

Publications

Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. CoRR (2024)
Stephan Hasler, Daniel Tanneberg, Michael Gienger
Efficient Symbolic Planning with Views. CoRR (2024)
Chao Wang, Stephan Hasler, Daniel Tanneberg, Felix Ocker, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger
Large Language Models for Multi-Modal Human-Robot Interaction. CoRR (2024)
Felix Ocker, Daniel Tanneberg, Julian Eggert, Michael Gienger
Tulip Agent - Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries. CoRR (2024)
Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, Michael Gienger
CoPAL: Corrective Planning of Robot Actions with Large Language Models. ICRA (2024)
Chao Wang, Stephan Hasler, Daniel Tanneberg, Felix Ocker, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger
LaMI: Large Language Models for Multi-Modal Human-Robot Interaction. CHI Extended Abstracts (2024)
Daniel Tanneberg, Michael Gienger
Learning Type-Generalized Actions for Symbolic Planning. IROS (2023)
Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, Michael Gienger
CoPAL: Corrective Planning of Robot Actions with Large Language Models. CoRR (2023)
Daniel Tanneberg, Michael Gienger
Learning Type-Generalized Actions for Symbolic Planning. CoRR (2023)
Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger
Explainable Human-Robot Training and Cooperation with Augmented Reality. CoRR (2023)
Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger
Explainable Human-Robot Training and Cooperation with Augmented Reality. CHI Extended Abstracts (2023)
Anna Belardinelli, Anirudh Reddy Kondapally, Dirk Ruiken, Daniel Tanneberg, Tomoki Watabe
Intention estimation from gaze and motion features for human-robot shared-control object manipulation. CoRR (2022)
Anna Belardinelli, Anirudh Reddy Kondapally, Dirk Ruiken, Daniel Tanneberg, Tomoki Watabe
Intention estimation from gaze and motion features for human-robot shared-control object manipulation. IROS (2022)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers. CoRR (2021)
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
SKID RAW: Skill Discovery From Raw Trajectories. IEEE Robotics Autom. Lett. 6 (3) (2021)
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
SKID RAW: Skill Discovery from Raw Trajectories. CoRR (2021)
Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
Model-Based Quality-Diversity Search for Efficient Robot Learning. CoRR (2020)
Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
Model-Based Quality-Diversity Search for Efficient Robot Learning. IROS (2020)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Evolutionary training and abstraction yields algorithmic generalization of neural computers. Nat. Mach. Intell. 2 (12) (2020)
Daniel Tanneberg, Elmar Rueckert, Jan Peters
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. CoRR (2019)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural Networks 109 (2019)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks. CoRR (2018)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Efficient online adaptation with stochastic recurrent neural networks. Humanoids (2017)
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. CoRL (2017)
Herke van Hoof, Daniel Tanneberg, Jan Peters
Generalized exploration in policy search. Mach. Learn. 106 (9-10) (2017)
Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert
Deep spiking networks for model-based planning in humanoids. Humanoids (2016)