Daniel Tanneberg

37 papers A* 2A 5B 1Misc 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
MERGE: Guided Vision-Language Models for Multi-Actor Event Reasoning and Grounding in Human-Robot Interaction.
CoRR
Joerg Deigmoeller, Nakul Agarwal, Stephan Hasler, Daniel Tanneberg, Anna Belardinelli, Reza Ghoddoosian, Chao Wang, Felix Ocker, Fan Zhang, Behzad Dariush, Michael Gienger
2025 J jnl
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition.
CoRR
Joerg Deigmoeller, Stephan Hasler, Nakul Agarwal, Daniel Tanneberg, Anna Belardinelli, Reza Ghoddoosian, Chao Wang, Felix Ocker, Fan Zhang, Behzad Dariush, Michael Gienger
2025 A conf
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning.
ECAI
Daniel Tanneberg
2025 J jnl
Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning.
CoRR
Daniel Tanneberg
2025 B conf
Mirror Eyes: Explainable Human-Robot Interaction at a Glance.
RO-MAN
Matti Krüger, Daniel Tanneberg, Chao Wang, Stephan Hasler, Michael Gienger
2025 J jnl
Mirror Eyes: Explainable Human-Robot Interaction at a Glance.
CoRR
Matti Krüger, Daniel Tanneberg, Chao Wang, Stephan Hasler, Michael Gienger
2025 A* conf
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning.
ICRA
Leon Keller, Daniel Tanneberg, Jan Peters
2025 J jnl
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning.
CoRR
Leon Keller, Daniel Tanneberg, Jan Peters
2025 J jnl
Train your robot in AR: insights and challenges for humans and robots in continual teaching and learning.
Frontiers Robotics AI
Anna Belardinelli, Chao Wang, Daniel Tanneberg, Stephan Hasler, Michael Gienger
2024 A* conf
CoPAL: Corrective Planning of Robot Actions with Large Language Models.
ICRA
Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, Michael Gienger
2024 J jnl
Efficient Symbolic Planning with Views.
CoRR
Stephan Hasler, Daniel Tanneberg, Michael Gienger
2024 — conf
LaMI: Large Language Models for Multi-Modal Human-Robot Interaction.
CHI Extended Abstracts
Chao Wang, Stephan Hasler, Daniel Tanneberg, Felix Ocker, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger
2024 J jnl
Large Language Models for Multi-Modal Human-Robot Interaction.
CoRR
Chao Wang, Stephan Hasler, Daniel Tanneberg, Felix Ocker, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger
2024 A conf
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions.
IROS
Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2024 J jnl
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions.
CoRR
Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger
2024 J jnl
Tulip Agent - Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries.
CoRR
Felix Ocker, Daniel Tanneberg, Julian Eggert, Michael Gienger
2023 J jnl
CoPAL: Corrective Planning of Robot Actions with Large Language Models.
CoRR
Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, Michael Gienger
2023 — conf
Explainable Human-Robot Training and Cooperation with Augmented Reality.
CHI Extended Abstracts
Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger
2023 J jnl
Explainable Human-Robot Training and Cooperation with Augmented Reality.
CoRR
Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger
2023 A conf
Learning Type-Generalized Actions for Symbolic Planning.
IROS
Daniel Tanneberg, Michael Gienger
2023 J jnl
Learning Type-Generalized Actions for Symbolic Planning.
CoRR
Daniel Tanneberg, Michael Gienger
2022 A conf
Intention estimation from gaze and motion features for human-robot shared-control object manipulation.
IROS
Anna Belardinelli, Anirudh Reddy Kondapally, Dirk Ruiken, Daniel Tanneberg, Tomoki Watabe
2022 J jnl
Intention estimation from gaze and motion features for human-robot shared-control object manipulation.
CoRR
Anna Belardinelli, Anirudh Reddy Kondapally, Dirk Ruiken, Daniel Tanneberg, Tomoki Watabe
2021 J jnl
Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers.
CoRR
Daniel Tanneberg, Elmar Rueckert, Jan Peters
2021 J jnl
SKID RAW: Skill Discovery From Raw Trajectories.
IEEE Robotics Autom. Lett.
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2021 J jnl
SKID RAW: Skill Discovery from Raw Trajectories.
CoRR
Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2020 J jnl
Evolutionary training and abstraction yields algorithmic generalization of neural computers.
Nat. Mach. Intell.
Daniel Tanneberg, Elmar Rueckert, Jan Peters
2020 A conf
Model-Based Quality-Diversity Search for Efficient Robot Learning.
IROS
Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
2020 J jnl
Model-Based Quality-Diversity Search for Efficient Robot Learning.
CoRR
Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
2020 — —
Understand-Compute-Adapt: Neural Networks for Intelligent Agents.
Daniel Tanneberg
2019 J jnl
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.
Neural Networks
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2019 J jnl
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer.
CoRR
Daniel Tanneberg, Elmar Rueckert, Jan Peters
2018 J jnl
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks.
CoRR
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2017 — conf
Efficient online adaptation with stochastic recurrent neural networks.
Humanoids
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2017 J jnl
Generalized exploration in policy search.
Mach. Learn.
Herke van Hoof, Daniel Tanneberg, Jan Peters
2017 Misc conf
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
CoRL
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2016 — conf
Deep spiking networks for model-based planning in humanoids.
Humanoids
Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert