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RobDREAM

Optimising Robot Performance while Dreaming

Total Cost €

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EC-Contrib. €

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Partnership

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 RobDREAM project word cloud

Explore the words cloud of the RobDREAM project. It provides you a very rough idea of what is the project "RobDREAM" about.

trl    their    portfolio    functions    market    positively    improves    variety    operation    robotics    setup    perception    readiness    scientific    simulation    frequent    programming    flexibility    technologies    mobile    jobs    cognitive    world    algorithms    professional    robdream    parts    adopting    settings    exploring    decision    dreaming    ownership    economic    manipulation    motion    robots    manufacturing    beginning    improvement    mammals    tuning    experiences    total    memory    sizes    adapt    conquer    advantages    lot    regeneration    decisional    industrial    quality    time    navigation    dependability    grasping    automatic    decrease    learning    evaluation    sleep    iterative    perspective    head    hominids    inactive    sme    efficiency    start    service    tools    smaller    validation    day    strategies    competitiveness    turn    manipulators    interaction    shares    reasoning    inspiration    configurability    situations    autonomy    made    adaptability    constraints    providers    optimization    best    phases   

Project "RobDREAM" data sheet

The following table provides information about the project.

Coordinator
KUKA Laboratories GmbH 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country Germany [DE]
 Project website http://www.robdream.eu
 Total cost 5˙401˙911 €
 EC max contribution 5˙401˙911 € (100%)
 Programme 1. H2020-EU.2.1.1.5. (Advanced interfaces and robots: Robotics and smart spaces)
 Code Call H2020-ICT-2014-1
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-02-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KUKA DEUTSCHLAND GMBH DE (AUGSBURG) coordinator 1˙612˙966.00
2    KUKA Laboratories GmbH DE (Augsburg) coordinator 0.00
3    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) participant 802˙416.00
4    ALBERT-LUDWIGS-UNIVERSITAET FREIBURG DE (FREIBURG) participant 756˙875.00
5    KUNGLIGA TEKNISKA HOEGSKOLAN SE (STOCKHOLM) participant 686˙500.00
6    Convergent Information Technologies GmbH AT (HAID BEI ANSFELDEN) participant 546˙507.00
7    FUNDACION TECNALIA RESEARCH & INNOVATION ES (DERIO BIZKAIA) participant 504˙000.00
8    RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN DE (BONN) participant 492˙646.00

Map

 Project objective

Sleep! For hominids and most other mammals sleep means more than regeneration. Sleep positively affects working memory, which in turn improves higher-level cognitive functions such as decision making and reasoning. This is the inspiration of RobDREAM! What if robots could also improve their capabilities in their inactive phases – by processing experiences made during the working day and by exploring – or “dreaming” of – possible future situations and how to solve them best? In RobDREAM we will improve industrial mobile manipulators’ perception, navigation and manipulation and grasping capabilities by automatic optimization of parameters, strategies and selection of tools within a portfolio of key algorithms for perception, navigation and manipulation and grasping, by means of learning and simulation, and through use case driven evaluation. As a result, mobile manipulation systems will adapt more quickly to new tasks, jobs, parts, areas of operation and various other constraints. From a scientific perspective the RobDREAM robots will feature increased adaptability, dependability, flexibility, configurability, decisional autonomy, as well as improved abilities in perception, interaction manipulation and motion. The technology readiness level (TRL) of the related key technologies will be increased by means of frequent and iterative real-world testing, validation and improvement phases from the very beginning of the project. From an economic perspective the Quality of Service and the Overall Equipment Efficiency will increase, while at the same time the Total Cost of Ownership for setup, programming and parameter tuning will decrease. These advantages will support the competitiveness of Europe's manufacturing sector, in particular in SME-like settings with higher product variety and smaller lot-sizes. They also support the head start of technology providers adopting RobDREAM’s technologies to conquer market shares in industrial and professional service robotics.

 Deliverables

List of deliverables.
Engineering framework for setting up, validating and optimising mobile manipulation tasks Other 2019-09-09 16:29:37
Mobile manipulation test board Demonstrators, pilots, prototypes 2019-09-09 16:29:37
Parameter optimization for task planners (OLP and reactive grasp planning) Documents, reports 2019-09-09 16:29:37
Project material (templates, project flyer) Other 2019-09-09 16:29:37
Final system for algorithm configuration including the improvements integrated by tests in case studies Demonstrators, pilots, prototypes 2019-09-09 16:29:37
Mobile robot manipulation use case analysis Documents, reports 2019-09-09 16:29:37
Realistic manufacturing environment Demonstrators, pilots, prototypes 2019-09-09 16:29:37
Report on evaluation results Documents, reports 2019-09-09 16:29:37
Specification of interfaces for the planning functions and the DREAM-Bed Documents, reports 2019-09-09 16:29:37
Parameter optimization for motion planners Documents, reports 2019-09-09 16:29:37
Full version of the navigation portfolio and evaluation Documents, reports 2019-09-09 16:29:37
Project website Other 2019-09-09 16:29:37
Specification of perception interfaces Documents, reports 2019-09-09 16:29:37
Specification of the interfaces for the navigation system and the DREAM-Bed Documents, reports 2019-09-09 16:29:38
Realistic manufacturing environment design Other 2019-09-09 16:29:37
\"Specification of the interfaces for the \"\"dreaming\"\" optimization system\" Documents, reports 2019-09-09 16:29:38
Evaluation report of the third stage of evaluations Documents, reports 2019-09-09 16:29:37

Take a look to the deliverables list in detail:  detailed list of RobDREAM deliverables.

 Publications

year authors and title journal last update
List of publications.
2015 Mazuran, M., C. Sprunk, W. Burgard, and G. Diego Tipaldi
LexTOR: Lexicographic Teach Optimize and Repeat Based on User Preferences
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Robotics and Automation 2019-09-09
2016 Riedel, S., Z-C. Marton, and S. Kriegel
Multi-view Orientation Estimation using Bingham Mixture Models
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Automation, Quality and Testing, Robotics 2019-09-09
2017 Maximilian Durner, Zoltán Márton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber
Active classifier selection for RGB-D object categorization using a Markov random field ensemble method
published pages: 103411I, ISSN: , DOI: 10.1117/12.2268551
Ninth International Conference on Machine Vision (ICMV 2016) 2019-09-09
2018 Zoltán Csaba Márton, Serkan Türker, Christian Rink, Manuel Brucker, Simon Kriegel, Tim Bodenmüller, Sebastian Riedel
Improving object orientation estimates by considering multiple viewpoints
published pages: 423-442, ISSN: 0929-5593, DOI: 10.1007/s10514-017-9633-1
Autonomous Robots 42/2 2019-09-09
2015 Röwekämper, J., B. Suger, W. Burgard, and G. Diego Tipaldi
Accurate Localization with Respect to Moving Objects via Multiple-Body Registration
published pages: , ISSN: , DOI:
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 2019-09-09
2016 Hang, K., Haustein, J.A. , Li, M., Billard, A., Smith, C. and Kragic, D.
On the Evolution of Fingertip Grasping Manifolds
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Robotics and Automation 2019-09-09
2016 Springenberg, J.T., Klein, A., Falkner, S. and Hutter, F.
Bayesian Optimization with Robust Bayesian Neural Networks
published pages: , ISSN: , DOI:
Advances in Neural Information Processing Systems 29 (NIPS 2016) 2019-09-09
2017 Rika Antonova, Silvia Cruciani
Unlocking the Potential of Simulators: Design with RL in Mind
published pages: , ISSN: , DOI:
Extended abstract for RLDM17 (3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making) 2019-09-09
2015 Mazuran, M., F. Boniardi, W. Burgard, and G. Diego Tipaldi
Relative Topometric Localization in Globally Inconsistent Maps
published pages: , ISSN: , DOI:
Proceedings of the International Symposium on Robotics Research 2019-09-09
2017 Lorenzo Nardi, Cyrill Stachniss
User preferred behaviors for robot navigation exploiting previous experiences
published pages: 204-216, ISSN: 0921-8890, DOI: 10.1016/j.robot.2017.08.014
Robotics and Autonomous Systems 97 2019-09-09
2016 Riedel, S., Z-C. Marton, and S. Kriegel
Viewing Direction Classification: Application to View Planning
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Robotics and Automation 2019-09-09
2015 Steder, B., M. Ruhnke, R. Kümmerle, and W. Burgard
Maximum Likelihood Remission Calibration for Groups of Heterogeneous Laser Scanners
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Robotics and Automation 2019-09-09
2017 S. Cruciani and C. Smith
Pivoting Objects with a Parallel Gripper Using Controlled Slip and Inertial Forces
published pages: , ISSN: , DOI:
Extended Abstract in the IROS 2017 workshop: Frontiers in Contact-rich Robotic Interaction: Modeling, Optimization and Control Synthesis 2019-09-09
2018 Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
Detecting Changes in the Environment Based on Full Posterior Distributions Over Real-Valued Grid Maps
published pages: 1299-1305, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2797317
IEEE Robotics and Automation Letters 3/2 2019-09-09
2017 A. Klein and S. Falkner and N. Mansur and F. Hutter
RoBO: A Flexible and Robust Bayesian Optimization Framework in Python
published pages: , ISSN: , DOI:
NIPS 2017 Bayesian Optimization Workshop 2019-09-09
2016 Boniardi, F., A. Valada, W. Burgard, and G. Diego Tipaldi
Autonomous Indoor Robot Navigation Using a Sketch Interface for Drawing Maps and Routes
published pages: , ISSN: , DOI:
Proceedings of the IEEE International Conference on Robotics and Automation 2019-09-09
2015 Boniardi, F., B. Behzadian, W. Burgard, and G. Diego Tipaldi
Robot Navigation in Hand-Drawn Sketched Maps
published pages: , ISSN: , DOI:
Proceedings of the European Conference on Mobile Robots 2019-09-09
2017 Stefan Falkner and Aaron Klein and Frank Hutter
Combining Hyperband and Bayesian Optimization
published pages: , ISSN: , DOI:
Proceedings of the NIPS 2017 Bayesian Optimization Workshop 2019-09-09
2017 Andreas Dömel, Simon Kriegel, Michael Kaßecker, Manuel Brucker, Tim Bodenmüller, Michael Suppa
Toward fully autonomous mobile manipulation for industrial environments
published pages: 172988141771858, ISSN: 1729-8814, DOI: 10.1177/1729881417718588
International Journal of Advanced Robotic Systems 14/4 2019-09-09
2017 R Antonova, S Cruciani, C Smith, D Kragic
Reinforcement Learning for Pivoting Task
published pages: , ISSN: , DOI:
2019-09-09
2018 Sebastian G. Brunner, Peter Lehner, Martin J. Schuster, Sebastian Riedel, Rico Belder, Daniel Leidner, Armin Wedler, Michael Beetz, Freek Stulp
Design, Execution, and Postmortem Analysis of Prolonged Autonomous Robot Operations
published pages: 1056-1063, ISSN: 2377-3766, DOI: 10.1109/LRA.2018.2794580
IEEE Robotics and Automation Letters 3/2 2019-09-09
2017 Aaron Klein and Stefan Falkner and Simon Bartels and Philipp Hennig and Frank Hutter
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
published pages: 528-536, ISSN: , DOI:
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics 2019-09-09
2017 Gabriel Leivas Oliveira, N. Radwan, W. Burgard, Thomas Brox
Topometric Localization with Deep Learning
published pages: , ISSN: , DOI:
Proceedings of the International Symposium on Robotics Research (ISRR) 2017 2019-09-09
2016 Rink, C., and S. Kriegel
Streaming Monte Carlo Pose Estimation for Autonomous Object Modeling
published pages: , ISSN: , DOI:
Proceedings of the Conference on Computer and Robot Vision 2019-09-09
2016 Christian Rink, Simon Kriegel, Daniel Seth, Maximilian Denninger, Zoltan-Csaba Marton, Tim Bodenmüller
Monte Carlo Registration and Its Application with Autonomous Robots
published pages: 1-28, ISSN: 1687-725X, DOI: 10.1155/2016/2546819
Journal of Sensors 2016 2019-09-09
2017 Aaron Klein, Stefan Falkner, Jost Tobias Springenberg & Frank Hutter
Learning Curve Prediction with Bayesian Neural Networks
published pages: , ISSN: , DOI:
Proceedings of the International Conference on Learning Representations (ICLR) 2017 2019-09-09

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The information about "ROBDREAM" are provided by the European Opendata Portal: CORDIS opendata.

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