Sebastian Höfer

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Oliver BrockProfessor of Computer Science, Technische Universität BerlinAdresse e-mail validée de tu-berlin.de
Rico JonschkowskiInceptiveAdresse e-mail validée de inceptive.team
Roberto Martín-MartínThe University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Clemens EppnerNVIDIA ResearchAdresse e-mail validée de nvidia.com
Vincent WallTechnische Universität Berlin, Robotics and Biology LaboratoryAdresse e-mail validée de tu-berlin.de
Arne SieverlingRealtime RoboticsAdresse e-mail validée de rtr.ai
Florian GolemoMILA & ElementAIAdresse e-mail validée de mila.quebec
Kostas BekrisProfessor of Computer Science, Rutgers UniversityAdresse e-mail validée de cs.rutgers.edu
Ken GoldbergProfessor, UC Berkeley and UCSFAdresse e-mail validée de berkeley.edu
C. Karen LiuProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Melissa MozifianML Research Engineer | BorealisAIAdresse e-mail validée de mail.mcgill.ca
John LeonardProfessor of Mechanical and Ocean Engineering, MITAdresse e-mail validée de mit.edu
Christopher Granger AtkesonProfessor, Robotics Institute, CMUAdresse e-mail validée de cmu.edu
Shuran SongStanford UniversityAdresse e-mail validée de stanford.edu
Peter WelinderOpenAIAdresse e-mail validée de openai.com
Juan Camilo Gamboa HigueraML Scientist @ Haiper.aiAdresse e-mail validée de cim.mcgill.ca
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIAdresse e-mail validée de ias.tu-darmstadt.de
Ankur HandaPrincipal Research Scientist, NVIDIAAdresse e-mail validée de doc.ic.ac.uk
Dieter FoxUniversity of Washington and NVIDIAAdresse e-mail validée de cs.washington.edu
Martha WhiteUniversity of AlbertaAdresse e-mail validée de ualberta.ca

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Sebastian Höfer

Manager Applied Science, Amazon Fulfillment Technologies & Robotics

Adresse e-mail validée de sebastianhoefer.de - Page d'accueil

Computer Vision Machine Learning Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ... Proceedings of Robotics: Science and Systems 2016, 2016	269	2016
Sim2real in robotics and automation: Applications and challenges S Höfer, K Bekris, A Handa, JC Gamboa, M Mozifian, F Golemo, ... IEEE transactions on automation science and engineering 18 (2), 398-400, 2021	176	2021
Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge R Jonschkowski, C Eppner, S Höfer, R Martín-Martín, O Brock IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016	81	2016
An Integrated Approach to Visual Perception of Articulated Objects R Martín-Martín, S Höfer, O Brock 2016 IEEE/RSJ International Conference on Robotics and Automation (ICRA 2016), 2016	57	2016
Patterns for Learning with Side Information R Jonschkowski, S Höfer, O Brock arXiv preprint arXiv:1511.06429, 2015	49	2015
Perspectives on sim2real transfer for robotics: A summary of the r: Ss 2020 workshop S Höfer, K Bekris, A Handa, JC Gamboa, F Golemo, M Mozifian, ... arXiv preprint arXiv:2012.03806, 2020	41	2020
Prior-assisted propagation of spatial information for object search M Lorbach, S Höfer, O Brock Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International …, 2014	41	2014
Four aspects of building robotic systems: lessons from the amazon picking challenge 2015 C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ... Autonomous Robots 42 (7), 1459-1475, 2018	34	2018
Emergent action language on real robots L Steels, M Spranger, R Van Trijp, S Höfer, M Hild Language grounding in robots, 255-276, 2012	28	2012
Opening a lockbox through physical exploration M Baum, M Bernstein, R Martin-Martin, S Höfer, J Kulick, M Toussaint, ... 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017	21	2017
Coupled Learning of Action Parameters and Forward Models for Manipulation S Höfer, O Brock IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016	17	2016
Extracting kinematic background knowledge from interactions using task-sensitive relational learning S Höfer, T Lang, O Brock Robotics and Automation (ICRA), 2014 IEEE International Conference on, 4342-4347, 2014	14	2014
The emergence of internal agreement systems K Beuls, L Steels, S Höfer Experiments in Cultural Language Evolution, 233-256, 2012	13	2012
Simulating the emergence of grammatical agreement in multi-agent language games K Beuls, S Höfer Twenty-Second International Joint Conference on Artificial Intelligence, 2011	13	2011
Using slow feature analysis to extract behavioural manifolds related to humanoid robot postures S Höfer, M Hild, M Kubisch Tenth International Conference on Epigenetic Robotics, 43-50, 2010	13	2010
Biologically inspired posture recognition and posture change detection for humanoid robots M Spranger, S Höfer, M Hild 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 562-567, 2009	12	2009
Unsupervised learning of state representations for multiple tasks S Höfer, A Raffin, R Jonschkowski, O Brock, F Stulp Deep Learning Workshop at the Conference on Neural Information Processing …, 2016	11*	2016
Complex Declension Systems and Morphology in Fluid Construction Grammar: A Case Study of Polish S Höfer Computational Issues in Fluid Construction Grammar, 143-177, 2012	9	2012
No free lunch in ball catching: A comparison of Cartesian and angular representations for control S Höfer, J Raisch, M Toussaint, O Brock Plos one 13 (6), e0197803, 2018	8	2018
Using quadric-representing neurons (QRENs) for real-time learning of an implicit body model M Hild, M Kubisch, S Höfer Proceedings of the 11th Conference on Mobile Robot and Competitions, 2011	8	2011

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