Explore the words cloud of the IMAGINE project. It provides you a very rough idea of what is the project "IMAGINE" about.
The following table provides information about the project.
Coordinator |
UNIVERSITAET INNSBRUCK
Organization address contact info |
Coordinator Country | Austria [AT] |
Project website | https://imagine-h2020.eu/ |
Total cost | 3˙797˙050 € |
EC max contribution | 3˙797˙050 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2016-1 |
Funding Scheme | RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-01-01 to 2021-02-28 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERSITAET INNSBRUCK | AT (INNSBRUCK) | coordinator | 744˙250.00 |
2 | GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS | DE (GOTTINGEN) | participant | 689˙000.00 |
3 | KARLSRUHER INSTITUT FUER TECHNOLOGIE | DE (KARLSRUHE) | participant | 667˙500.00 |
4 | INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES | FR (RENNES CEDEX 7) | participant | 628˙550.00 |
5 | AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS | ES (MADRID) | participant | 500˙625.00 |
6 | BOGAZICI UNIVERSITESI | TR (ISTANBUL) | participant | 365˙750.00 |
7 | ELECTROCYCLING GMBH | DE (GOSLAR) | participant | 201˙375.00 |
'Today's robots are good at executing programmed motions, but they do not understand their actions in the sense that they could automatically generalize them to novel situations or recover from failures. IMAGINE seeks to enable robots to understand the structure of their environment and how it is affected by its actions. 'Understanding' here means the ability of the robot (a) to determine the applicability of an action along with parameters to achieve the desired effect, and (b) to discern to what extent an action succeeded, and to infer possible causes of failure and generate recovery actions.
The core functional element is a generative model based on an association engine and a physics simulator. 'Understanding' is given by the robot's ability to predict the effects of its actions, before and during their execution. This allows the robot to choose actions and parameters based on their simulated performance, and to monitor their progress by comparing observed to simulated behavior.
This scientific objective is pursued in the context of recycling of electromechanical appliances. Current recycling practices do not automate disassembly, which exposes humans to hazardous materials, encourages illegal disposal, and creates significant threats to environment and health, often in third countries. IMAGINE will develop a TRL-5 prototype that can autonomously disassemble prototypical classes of devices, generate and execute disassembly actions for unseen instances of similar devices, and recover from certain failures. For robotic disassembly, IMAGINE will develop a multi-functional gripper capable of multiple types of manipulation without tool changes.
IMAGINE raises the ability level of robotic systems in core areas of the work programme, including adaptability, manipulation, perception, decisional autonomy, and cognitive ability. Since only one-third of EU e-waste is currently recovered, IMAGINE addresses an area of high economical and ecological impact. '
year | authors and title | journal | last update |
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2019 |
Timo Lüddecke, Tomas Kulvicius, Florentin Wörgötter Context-based affordance segmentation from 2D images for robot actions published pages: 92-107, ISSN: 0921-8890, DOI: 10.1016/j.robot.2019.05.005 |
Robotics and Autonomous Systems 119 | 2020-02-24 |
2019 |
Mert Imre, Erhan Oztop, Yukie Nagai, Emre Ugur Affordance-based altruistic robotic architecture for human–robot collaboration published pages: 223-241, ISSN: 1059-7123, DOI: 10.1177/1059712318824697 |
Adaptive Behavior 27/4 | 2020-02-24 |
2019 |
Emre Ugur, Hakan Girgin Compliant Parametric Dynamic Movement Primitives published pages: 1-18, ISSN: 0263-5747, DOI: 10.1017/S026357471900078X |
Robotica | 2020-02-24 |
2019 |
Alejandro Suarez-Hernandez, Carme Torras, Guillem Alenya Practical Resolution Methods for MDPs in Robotics Exemplified With Disassembly Planning published pages: 2282-2288, ISSN: 2377-3766, DOI: 10.1109/LRA.2019.2901905 |
IEEE Robotics and Automation Letters 4/3 | 2020-02-24 |
2019 |
Philipp Zech, Erwan Renaudo, Simon Haller, Xiang Zhang, Justus Piater Action representations in robotics: A taxonomy and systematic classification published pages: 518-562, ISSN: 0278-3649, DOI: 10.1177/0278364919835020 |
The International Journal of Robotics Research 38/5 | 2020-02-24 |
2019 |
Zhou, You; Gao, Jianfeng; Asfour, Tamim Learning Via-Point Movement Primitives with Inter- and Extrapolation Capabilities published pages: , ISSN: , DOI: 10.5281/zenodo.3523144 |
IEEE/RSJ International Conference on Intelligent Robots and Systems 1 | 2020-02-24 |
2019 |
M. Yunus Seker, Ahmet E. Tekden, Emre Ugur Deep effect trajectory prediction in robot manipulation published pages: 173-184, ISSN: 0921-8890, DOI: 10.1016/j.robot.2019.07.003 |
Robotics and Autonomous Systems 119 | 2020-02-24 |
2019 |
Ferreira, Fabio; Shao, Lin; Asfour, Tamim; Bohg, Jeannette Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases10-30 published pages: , ISSN: , DOI: 10.5281/zenodo.3523161 |
NeurIPS 2019 Graph Representation Learning workshop 1 | 2020-02-24 |
2018 |
Hakan Girgin; Emre Ugur Associative Skill Memory Models published pages: 6043-6048, ISSN: , DOI: |
IEEE/RSJ International Conference on Intelligent Robots and Systems 1 | 2020-02-24 |
2017 |
Martinez , David; Alenya , Guillem; Ribeiro , Tony; Inoue , Katsumi; Torras , Carme Relational reinforcement learning for planning with exogenous effects published pages: , ISSN: 1533-7928, DOI: |
Journal of Machine Learning Research 18 | 2020-02-24 |
2018 |
Rainer Kartmann, Fabian Paus, Markus Grotz, Tamim Asfour Extraction of Physically Plausible Support Relations to Predict and Validate Manipulation Action Effects published pages: 3991-3998, ISSN: 2377-3766, DOI: 10.1109/lra.2018.2859448 |
IEEE Robotics and Automation Letters 3/4 | 2020-02-24 |
2018 |
Clavera, Ignasi; Rothfuss, Jonas; Schulman, John; Fujita, Yasuhiro; Asfour, Tamim; Abbeel, Pieter Model-Based Reinforcement Learning via Meta-Policy Optimization published pages: , ISSN: , DOI: |
Conference on Robot Learning 1 | 2020-02-24 |
2019 |
M. Yunus Seker; Mert Imre; Justus Piater; Emre Ugur Conditional Neural Movement Primitives published pages: , ISSN: , DOI: |
Robotics: Science and Systems 1 | 2020-02-24 |
2017 |
Philipp Zech, Simon Haller, Safoura Rezapour Lakani, Barry Ridge, Emre Ugur, Justus Piater Computational models of affordance in robotics: a taxonomy and systematic classification published pages: 235-271, ISSN: 1059-7123, DOI: 10.1177/1059712317726357 |
Adaptive Behavior 25/5 | 2020-02-24 |
2017 |
Hakan Girgin; Emre Ugur Towards Generalizable Associative Skill Memories published pages: , ISSN: , DOI: 10.5281/zenodo.1183528 |
ICRA 2017 Workshop on Learning and control for autonomous manipulation systems: the role of dimensionality reduction 1 | 2020-02-24 |
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The information about "IMAGINE" are provided by the European Opendata Portal: CORDIS opendata.