Daniel Tanneberg

Cited by

	All	Since 2019
Citations	250	225
h-index	8	8
i10-index	7	7

2016201720182019202020212022202320245 10 10 23 37 31 41 72 19

Public access

View all

9 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Elmar RueckertProfessor for Cyber-Physical-SystemsVerified email at unileoben.ac.at
Michael GiengerHonda Research Institute EuropeVerified email at honda-ri.de
Stephan HaslerHonda Research Institute Europe GmbHVerified email at honda-ri.de
Anna BelardinelliPrincipal Scientist, Honda Research Institute EuropeVerified email at honda-ri.de
Chao WangHonda Research Institute EuropeVerified email at honda-ri.de
Dejan PecevskiAI/ML Department, Jumio Corp., Vienna, AustriaVerified email at jumio.com
David KappelRuhr-Universität BochumVerified email at rub.de
Svenja StarkIAS, TU DarmstadtVerified email at ias.informatik.tu-darmstadt.de
Joerg DeigmoellerHonda Research Institute Europe GmbHVerified email at honda-ri.de
Felix OckerHonda Research InstituteVerified email at honda-ri.de
Antonello CeravolaHonda Research Institute Europe GmbHVerified email at honda-ri.de
Kai PloegerResearch Assistant at Intelligent Autonomous Systems Lab, TU DarmstadtVerified email at ias.tu-darmstadt.de
Herke van HoofUniversity of Amsterdam (UVA)Verified email at uva.nl
Theodoros StouraitisHonda Research Institute EuropeVerified email at honda-ri.de
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at
Dirk RuikenHonda Research Institute EuropeVerified email at cs.umass.edu
Anirudh Reddy KondapallyHonda R&D Co. Ltd., The University of TokyoVerified email at jp.honda
Pavel A. SmirnovHonda Research Institute EuropeVerified email at honda-ri.de
Vieri Giuliano SantucciResearcher, National Research Council of Italy, Institute of Cognitive Science and TechnologiesVerified email at istc.cnr.it

Daniel Tanneberg

Senior Scientist @ Honda Research Institute EU, PhD from IAS @ TU Darmstadt

Verified email at robot-learning.de

Artificial Intelligence Machine Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recurrent spiking networks solve planning tasks E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters Scientific reports 6 (1), 21142, 2016	81	2016
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks D Tanneberg, J Peters, E Rueckert Neural Networks 109, 67-80, 2019	31	2019
SKID RAW: Skill Discovery from Raw Trajectories D Tanneberg, K Ploeger, E Rueckert, J Peters IEEE Robotics and Automation Letters 6 (3), 4696 - 4703, 2021	25	2021
Model-Based Quality-Diversity Search for Efficient Robot Learning L Keller, D Tanneberg, S Stark, J Peters IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020	23	2020
Generalized exploration in policy search H van Hoof, D Tanneberg, J Peters Machine Learning 106 (9), 1705-1724, 2017	20	2017
Deep spiking networks for model-based planning in humanoids D Tanneberg, A Paraschos, J Peters, E Rueckert 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016	12	2016
Explainable human-robot training and cooperation with augmented reality C Wang, A Belardinelli, S Hasler, T Stouraitis, D Tanneberg, M Gienger Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023	11	2023
Intention estimation from gaze and motion features for human-robot shared-control object manipulation A Belardinelli, AR Kondapally, D Ruiken, D Tanneberg, T Watabe 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	8	2022
Copal: Corrective planning of robot actions with large language models F Joublin, A Ceravola, P Smirnov, F Ocker, J Deigmoeller, A Belardinelli, ... arXiv preprint arXiv:2310.07263, 2023	7	2023
Evolutionary training and abstraction yields algorithmic generalization of neural computers D Tanneberg, E Rueckert, J Peters Nature Machine Intelligence 2 (12), 753-763, 2020	6	2020
Online learning with stochastic recurrent neural networks using intrinsic motivation signals D Tanneberg, J Peters, E Rueckert Conference on Robot Learning, 167-174, 2017	5	2017
Learning type-generalized actions for symbolic planning D Tanneberg, M Gienger 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023	4	2023
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture D Tanneberg, E Rueckert, J Peters arXiv preprint arXiv:1911.00926, 2019	4*	2019
Simulation of the underactuated Sake Robotics Gripper in V-REP SK Thiem, S Stark, D Tanneberg, J Peters, E Rueckert Workshop at 2017 IEEE-RAS 17th International Conference on Humanoid Robotics …, 2017	3	2017
Efficient Online Adaptation with Stochastic Recurrent Neural Networks D Tanneberg, J Peters, E Rueckert 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017	3	2017
Personalized brain-computer interfaces for non-laboratory environments T Friess, KH Fiebig, D Sharma, N Faber, T Hesse, D Tanneberg, J Peters, ... Cybathlon Symposium, Zürich, 2016	3	2016
LaMI: Large Language Models Driven Multi-Modal Interface for Human-Robot Communication C Wang, S Hasler, D Tanneberg, F Ocker, F Joublin, A Ceravola, ...	2*	2024
Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision Q Delfosse, S Stark, D Tanneberg, VG Santucci, J Peters Workshop at the International Conference on Intelligent Robots and Systems …, 2019	1	2019
Spiking Neural Networks Solve Robot Planning Problems: Spiking Neural Networks Zum Lösen Von Planungsproblemen Für Roboter D Tanneberg	1	2015
Learning type-generalized skills for symbolic planning for autonomous devices D Tanneberg, M Gienger US Patent App. 18/365,228, 2024		2024

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors