Rezultaty
The plan for the management of data with specific focus on the IAM impact motion dataset of WP1 Data management plan M6 and update M40
Data management plan (2nd update D6.3)The plan for the management of data, with specific focus on the I.AM. impact motion dataset of WP1. Data management plan (M6) and update (M40)
Data Management PlanThe plan for the management of data, with specific focus on the I.AM. impact motion dataset of WP1. Data management plan (M6) and update (M40)
This deliverable is a technical report describing how human safety can be ensured within I.AM. software framework to provide both human-safe and impact-aware manipulation, including implementation details of safety modules on a Franka Emika Panda robot manipulator and testing and benchmarking results of dynamic tossing and dynamic boxing.
Dissemination PlanPublication of the I.AM. dissemination plan.
Physics Engine API for Learning, Planning, Sensing, and ControlDocumentation of the API enabling the access to the physics engine for, e.g., requesting post-impact velocities given desired postures and pre-impact velocities, loading and modifying robot, enviroment, and objects kinematic and dynamic descriptions. This deliverable includes the result of numerical testing, performed in conjuction of the valation scenarios, to document the expected functioning and access to the physics engine via the API.
Minutes of the milestone review consortium meeting (focus: final validation TOSS, BOX, and GRAB scenarios)This deliverable is a document summarizing the reflections and decisions of the whole consortium taken in order to ensure the successful final validation of the three validation scenarios (TOSS, BOX, GRAB) in the final project review.
I.AM. software integration policyThis deliverable and its update regard the I.AM. software integration policy (M6) and the testing of the software integration for the three validation scenarios (TOSS, BOX, GRAB), release public API software.
I.Control reportCollect papers published with an executive summary of main results and proposed algorithms. Separate technical annex gathering the final performances obtained for each modeling benchmark. This final report summarizes the main achievements, limitations and future directions related to I.Control (T4.1, T4.2, T4.3, T2.3). This includes also the publication of the impact aware QP robot control software (I.Control) as open source sofware (on GitHub or similar open platform).
I.Model ReportCollect papers published with an executive summary of main results and proposed algorithms. Separate technicalannex gathering the final performances obtained for each modeling benchmark. This final report summarizes themain achievements, limitations and future directions related to I.Model (T1.1, T1.2, T1.3, T1.4, and T2.1).
Minutes of the milestone review consortium meeting (focus: TOSS scenario)This deliverable is a document summarizing the reflections and decisions of the whole consortium taken in order to ensure up the reaching of all milestones up to M30 (in particular, the experimental execution of the TOSS scenario).
Impact Posture Planning for Dynamic ManipulationThis deliverable will be composed of online published papers or technical report about the theoretical foundation for the impact posture planning This is include also the publication of the impact posture planning as open source sofware on GitHub or similar open platform
I.Sense reportCollect papers published with an executive summary of main results and proposed algorithms. Separate technical annex gathering the final performances obtained for each modeling benchmark. This final report summarizes the main achievements, limitations and future directions related to I.Sense (T3.1, T3.2). This includes also the publication of the aim-aware impact monitoring pipeline and reflex decision tree software (I.Sense) as opensource sofware (on GitHub or similar open platform).
Minutes of the milestone review consortium meeting (focus: integration)This deliverable is a document summarizing the reflections and decisions of the whole consortium taken in order to ensure up the reaching of all milestones up to M18 (in particular, software integration and the numerical simulation of the TOSS scenario).
I.AM. software integration policy (update D5.1)This deliverable and its update regard the IAM software integration policy M6 and the testing of the software integration for the three validation scenarios TOSS BOX GRAB release public API software
Minutes of the milestone review consortium meeting (focus: BOX and GRAB scenarios)This deliverable is a document summarizing the reflections and decisions of the whole consortium taken in order to ensure up the reaching of all milestones up to M42 in particular the experimental execution of the GRAB and BOX scenarios
Gender Action PlanGender action plan to actively address gender unbalance in the consortium.
I.Learn reportCollect papers published with an executive summary of main results and proposed algorithms. Separate technical annex gathering the final performances obtained for each modeling benchmark. This final report summarizes the main achievements, limitations and future directions related to I.Learn (T2.2, T3.3). This includes also the publication of the learning software (I.Learn), not already published in D2.1, as open source sofware (on GitHub or similar open platform).
This deliverable is a technical report describing the implementation details of I.AM. technology on dual arm KUKA system, including testing and benchmarking results of dynamic (=non-zero contact speed, object- enviroment impact aware) grabbing in comparison with standard (=almost zero-speed, impact unaware) picking and manipulation.
Scenario 2 (BOX) reportThis deliverable is a technical report describing the implementation details of I.AM. technology on a Franka Emika Panda robot manipulator, including testing and benchmarking results of dynamic (= non-zero speed, object- enviroment aware) boxing in comparison with standard (= almost zero-speed, object-enviroment unaware) boxing.
Scenario 1 (TOSS) reportThis deliverable is a technical report describing the implementation details of I.AM. technology on UR and Panda robots, including testing and benchmarking results of dynamic (=non-zero speed, object-environment aware) tossing in comparison with standard (=almost zero-speed, object-environment unaware) placing on a moving conveyor belt.
Publication of the I.AM. website with feeds from relevant social networks
Release of I.AM. dataset. The dataset will contain object-enviroment, robot-object, and robot-object-environment collisions data. Precise details of the dataset will be defined in T1.2. The final version will also include an associated scientific paper.
Publication of I.AM. datasetFirst release of I.AM. dataset. The dataset will contain object-enviroment, robot-object, and robot-object-environment collisions data. Precise details of the dataset will be defined in T1.2. The final version (later deliverable) will also include an associated scientific paper.
Publikacje
Autorzy:
Kirschner RJ, Kurdas A, Karacan K, Junge P, Baradaran Birjandi SA, Mansfeld N, Abdolshah S, Haddadin S
Opublikowane w:
International Conference on Intelligent Robots and Systems (IROS) 2021, 2021
Wydawca:
IEEE
Autorzy:
Robin Jeanne Kirschner, Nico Mansfeld, Saeed Abdolshah and Sami Haddadin
Opublikowane w:
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Wydawca:
IEEE
Autorzy:
T. Steinecker, A. Kurdas, N. Mansfeld, M. Hamad, R. J. Kirschner, S. Abdolshah, S. Haddadin
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/icra46639.2022.9811582
Autorzy:
M. Eckhoff, R. J. Kirschner, E. Kern, S. Abdolshah, S. Haddadin
Opublikowane w:
2022
Wydawca:
IEEEE
DOI:
10.1109/icra46639.2022.9812160
Autorzy:
Kirschner RJ, Jantalia J, Mansfeld N, Abdolshah S, Haddadin S
Opublikowane w:
IEEE International Conference on Robotics and Automation (ICRA), 2021
Wydawca:
IEEE
Autorzy:
Vorndamme J and Haddadin S
Opublikowane w:
International Conference on Intelligent Robots and Systems (IROS) 2021, 2021
Wydawca:
IEEE
Autorzy:
A. Kurdas, M. Hamad, J. Vorndamme, N. Mansfeld, S. Abdolshah and S. Haddadin
Opublikowane w:
ICRA 2022, 2022
Wydawca:
IEEE
DOI:
10.1109/icra46639.2022.9811691
Autorzy:
Menno Lubbers; Job van Voorst; Maarten Jongeneel; Alessandro Saccon
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/iros47612.2022.9982211
Autorzy:
Mazin Hamad, Alexander Kurdas, Saeed Abdolshah and Sami Haddadin
Opublikowane w:
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Wydawca:
IEEE
Autorzy:
Seyed Ali Baradaran Birjandi, Sami Haddadin
Opublikowane w:
2020 IEEE Robotics and Automation Letters, 2020
Wydawca:
IEEE
Autorzy:
M. Jongeneel, A. Saccon
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/iros47612.2022.9981409
Autorzy:
P. Svarny, M. Hamad, A. Kurdas, M. Hoffmann, A. Saeed and S. Haddadin
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/humanoids53995.2022.10000070
Autorzy:
Dehio, Niels; Kheddar, Abderrahmane
Opublikowane w:
ICRA, Numer 1, 2021
Wydawca:
IEEE
Autorzy:
Kirschner RJ, Mansfeld N, Peña GG, Abdolshah S, Haddadin S.
Opublikowane w:
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Wydawca:
IEEE
Autorzy:
Harshit Khurana, Michael Bombile, Aude Billard
Opublikowane w:
IROS 2021, 2021
Wydawca:
IEEE/RSJ International Conference on Intelligent Robots and Systems
Autorzy:
Mazin Hamad, Alexander Kurdas, Saeed Abdolshah and Sami Haddadin
Opublikowane w:
2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Wydawca:
IEEE
Autorzy:
Ilias Aouaj; Vincent Padois; Alessandro Saccon
Opublikowane w:
IEEE International Conference on Robotics and Automation (ICRA), 2021
Wydawca:
IEEE
Autorzy:
J. Vorndamme, L. F. C. Figueredo, S. Haddadin
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/iros47612.2022.9981904
Autorzy:
Seyed Ali Baradaran Birjandi; Niels Dehio; Abderrahmane Kheddar; Sami Haddadin
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/iros47612.2022.9981233
Autorzy:
J van Steen, N van de Wouw, A Saccon
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.23919/acc53348.2022.9867812
Autorzy:
C. M. Valle, A. A. Kurdas, E. P. Fortunić, S. Abdolshah, S. Haddadin
Opublikowane w:
2022
Wydawca:
IEEE
DOI:
10.1109/iros47612.2022.9981139
Autorzy:
Maarten Jongeneel; Alexandre Bernardino; Nathan van de Wouw; Alessandro Saccon
Opublikowane w:
2022 American Control Conference (ACC), 2022
Wydawca:
IEEE
DOI:
10.23919/acc53348.2022.9867622
Autorzy:
Michael Bombile; Aude Billard
Opublikowane w:
IEEE Robotics & Automation Magazine, Numer 1, 2022, ISSN 1070-9932
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mra.2022.3177355
Autorzy:
N. Dehio, Y. Wang, A. Kheddar,
Opublikowane w:
IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Wydawca:
IEEE
DOI:
10.1109/lra.2022.3158433
Autorzy:
S. Haddadin, S. Parusel, L. Johannsmeier, S. Golz, S. Gabl, F. Walch, M. Sabaghian, C. Jähne, L. Hausperger, S. Haddadin
Opublikowane w:
IEEE Robotics & Automation Magazine, 2022, ISSN 1070-9932
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/mra.2021.3138382
Autorzy:
Yuquan Wang; Niels Dehio; Abderrahmane Kheddar
Opublikowane w:
IEEE Robotics and Automation Letters, Numer 4, 2022, ISSN 2377-3766
Wydawca:
IEEE
DOI:
10.48550/arxiv.2109.04756
Autorzy:
Y. Wang, N. Dehio, A. Kheddar,
Opublikowane w:
IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Wydawca:
IEEE
DOI:
10.1109/lra.2022.3167614
Autorzy:
Robin Jeanne Kirschner; Henning Mayer; Lisa Burr; Nico Mansfeld; Saeed Abdolshah; Sami Haddadin
Opublikowane w:
IEEE Robotics and Automation Letters, Numer 1, 2022, ISSN 2377-3766
Wydawca:
IEEE
DOI:
10.48550/arxiv.2109.07201
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