RobDREAM
Optimising Robot Performance while Dreaming
Total Cost €
0EC-Contrib. €
0Partnership
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0RobDREAM 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.
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.
| # | ||||
|---|---|---|---|---|
| 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
| 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 |
|---|---|---|---|
| 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.