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CORDIS - Resultados de investigaciones de la UE
CORDIS

Impact Aware Manipulation by Dexterous Robot Control and Learning in Dynamic Semi-Structured Logistic Environments

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data management plan (update D6.3) (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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 Plan (se abrirá en una nueva ventana)

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)

Human safety in impact aware manipulation (se abrirá en una nueva ventana)

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 Plan (se abrirá en una nueva ventana)

Publication of the I.AM. dissemination plan.

Physics Engine API for Learning, Planning, Sensing, and Control (se abrirá en una nueva ventana)

Documentation 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) (se abrirá en una nueva ventana)

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 policy (se abrirá en una nueva ventana)

This 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 report (se abrirá en una nueva ventana)

Collect 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 Report (se abrirá en una nueva ventana)

Collect 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) (se abrirá en una nueva ventana)

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 Manipulation (se abrirá en una nueva ventana)

This 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 report (se abrirá en una nueva ventana)

Collect 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) (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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 Plan (se abrirá en una nueva ventana)

Gender action plan to actively address gender unbalance in the consortium.

I.Learn report (se abrirá en una nueva ventana)

Collect 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).

Scenario 3 (GRAB) report (se abrirá en una nueva ventana)

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) report (se abrirá en una nueva ventana)

This 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) report (se abrirá en una nueva ventana)

This 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 I.AM. dataset (update D1.1) (se abrirá en una nueva ventana)

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. dataset (se abrirá en una nueva ventana)

First 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.

Publicaciones

Editorial Introduction to the IEEE T-RO Special Collection on Impact-Aware Robotics (se abrirá en una nueva ventana)

Autores: Abderrahmane Kheddar, Yan Gu, Michael Posa, Alessandro Saccon
Publicado en: IEEE Transactions on Robotics, Edición 40, 2024, Página(s) i-iv, ISSN 1552-3098
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tro.2024.3486408

Dual Arm Impact-Aware Grasping through Time-Invariant Reference Spreading Control (se abrirá en una nueva ventana)

Autores: Jari J. van Steen, Abdullah Coşgun, Nathan van de Wouw, Alessandro Saccon
Publicado en: IFAC-PapersOnLine, Edición 56, 2024, Página(s) 1009-1016, ISSN 2405-8963
Editor: Elsevier
DOI: 10.1016/j.ifacol.2023.10.1697

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object: Proposing a New Approach (se abrirá en una nueva ventana)

Autores: Michael Bombile; Aude Billard
Publicado en: IEEE Robotics & Automation Magazine, Edición 1, 2022, ISSN 1070-9932
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2022.3177355

Robust Task-Space Quadratic Programming for Kinematic-Controlled Robots (se abrirá en una nueva ventana)

Autores: Mohamed Djeha, Pierre Gergondet, Abderrahmane Kheddar
Publicado en: IEEE Transactions on Robotics, Edición 39, 2023, Página(s) 3857-3874, ISSN 1552-3098
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tro.2023.3286069

Sequential hierarchical least-squares programming for prioritized non-linear optimal control (se abrirá en una nueva ventana)

Autores: Kai Pfeiffer, Abderrahmane Kheddar
Publicado en: Optimization Methods and Software, Edición 39, 2024, Página(s) 1104-1142, ISSN 1055-6788
Editor: Taylor & Francis
DOI: 10.1080/10556788.2024.2307467

Dual-arm box grabbing with impact-aware model predictive control utilizing soft deformable end-effector pads (se abrirá en una nueva ventana)

Autores: N. Dehio, Y. Wang, A. Kheddar,
Publicado en: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2022.3158433

Quadratic Programming-Based Reference Spreading Control for Dual-Arm Robotic Manipulation With Planned Simultaneous Impacts (se abrirá en una nueva ventana)

Autores: Jari van Steen, Gijs van den Brandt, Nathan van de Wouw, Jens Kober, Alessandro Saccon
Publicado en: IEEE Transactions on Robotics, Edición 40, 2024, Página(s) 3341-3355, ISSN 1552-3098
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tro.2024.3420800

Refined Post-Impact Velocity Prediction for Torque-Controlled Flexible-Joint Robots (se abrirá en una nueva ventana)

Autores: Camilo Andres Rey Arias, Wouter Weekers, Marco Morganti, Vincent Padois, Alessandro Saccon
Publicado en: IEEE Robotics and Automation Letters, Edición 9, 2024, Página(s) 3267-3274, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2024.3364469

The Franka Emika Robot: A Reference Platform for Robotics Research and Education (se abrirá en una nueva ventana)

Autores: S. Haddadin, S. Parusel, L. Johannsmeier, S. Golz, S. Gabl, F. Walch, M. Sabaghian, C. Jähne, L. Hausperger, S. Haddadin
Publicado en: IEEE Robotics & Automation Magazine, 2022, ISSN 1070-9932
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2021.3138382

On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts (se abrirá en una nueva ventana)

Autores: Yuquan Wang; Niels Dehio; Abderrahmane Kheddar
Publicado en: IEEE Robotics and Automation Letters, Edición 4, 2022, ISSN 2377-3766
Editor: IEEE
DOI: 10.48550/arxiv.2109.04756

Predicting impact-induced joint velocity jumps on kinematics-controlled manipulators (se abrirá en una nueva ventana)

Autores: Y. Wang, N. Dehio, A. Kheddar,
Publicado en: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2022.3167614

Aim-Aware Collision Monitoring: Discriminating Between Expected and Unexpected Post-Impact Behaviors (se abrirá en una nueva ventana)

Autores: Benn Proper, Alexander Kurdas, Saeed Abdolshah, Sami Haddadin, Alessandro Saccon
Publicado en: IEEE Robotics and Automation Letters, Edición 8, 2023, Página(s) 4609-4616, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2023.3284371

Expectable Motion Unit: Avoiding Hazards From Human Involuntary Motions in Human-Robot Interaction (se abrirá en una nueva ventana)

Autores: Robin Jeanne Kirschner; Henning Mayer; Lisa Burr; Nico Mansfeld; Saeed Abdolshah; Sami Haddadin
Publicado en: IEEE Robotics and Automation Letters, Edición 1, 2022, ISSN 2377-3766
Editor: IEEE
DOI: 10.48550/arxiv.2109.07201

Planning Impact-Driven Logistic Tasks (se abrirá en una nueva ventana)

Autores: Ahmed Zermane, Niels Dehio, Abderrahmane Kheddar
Publicado en: IEEE Robotics and Automation Letters, Edición 9, 2024, Página(s) 2184-2191, ISSN 2377-3766
Editor: IEEE
DOI: 10.1109/lra.2024.3354614

A Compact 6D Suction Cup Model for Robotic Manipulation via Symmetry Reduction (se abrirá en una nueva ventana)

Autores: Alexander A. Oliva, Maarten J. Jongeneel, Alessandro Saccon
Publicado en: IEEE Transactions on Robotics, Edición 41, 2025, Página(s) 2285-2300, ISSN 1552-3098
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tro.2025.3551197

Towards a Reference Framework for Tactile Robot Performance and Safety Benchmarking

Autores: Kirschner RJ, Kurdas A, Karacan K, Junge P, Baradaran Birjandi SA, Mansfeld N, Abdolshah S, Haddadin S
Publicado en: International Conference on Intelligent Robots and Systems (IROS) 2021, 2021
Editor: IEEE

Experimental Analysis of Impact Forces in Constrained Collisions According to ISO/TS 15066

Autores: Robin Jeanne Kirschner, Nico Mansfeld, Saeed Abdolshah and Sami Haddadin
Publicado en: 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Editor: IEEE

Mean Reflected Mass: A Physically Interpretable Metric for Safety Assessment and Posture Optimisation in Human-Robot Interaction (se abrirá en una nueva ventana)

Autores: T. Steinecker, A. Kurdas, N. Mansfeld, M. Hamad, R. J. Kirschner, S. Abdolshah, S. Haddadin
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/icra46639.2022.9811582

Robot Control for Simultaneous Impact Tasks through Time-Invariant Reference Spreading (se abrirá en una nueva ventana)

Autores: Jari J. van Steen, Nathan van de Wouw, Alessandro Saccon
Publicado en: 2023 American Control Conference (ACC), 2023, Página(s) 46-53
Editor: IEEE
DOI: 10.23919/acc55779.2023.10156028

An MPC Framework For Planning Safe & Trustworthy Robot Motions (se abrirá en una nueva ventana)

Autores: M. Eckhoff, R. J. Kirschner, E. Kern, S. Abdolshah, S. Haddadin
Publicado en: 2022
Editor: IEEEE
DOI: 10.1109/icra46639.2022.9812160

CSM: Contact Sensitivity Maps for Benchmarking Robot Collision Handling Systems

Autores: Kirschner RJ, Jantalia J, Mansfeld N, Abdolshah S, Haddadin S
Publicado en: IEEE International Conference on Robotics and Automation (ICRA), 2021
Editor: IEEE

Rm-Code: Proprioceptive Real-Time Recursive Multi-Contact Detection, Isolation and Identification

Autores: Vorndamme J and Haddadin S
Publicado en: International Conference on Intelligent Robots and Systems (IROS) 2021, 2021
Editor: IEEE

Online Payload Identification for Tactile Robots Using the Momentum Observer (se abrirá en una nueva ventana)

Autores: A. Kurdas, M. Hamad, J. Vorndamme, N. Mansfeld, S. Abdolshah and S. Haddadin
Publicado en: ICRA 2022, 2022
Editor: IEEE
DOI: 10.1109/icra46639.2022.9811691

Learning Suction Cup Dynamics from Motion Capture: Accurate Prediction of an Object's Vertical Motion during Release (se abrirá en una nueva ventana)

Autores: Menno Lubbers; Job van Voorst; Maarten Jongeneel; Alessandro Saccon
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/iros47612.2022.9982211

A Robotics Perspective on Experimental Injury Biomechanics of Human Body Upper Extremities

Autores: Mazin Hamad, Alexander Kurdas, Saeed Abdolshah and Sami Haddadin
Publicado en: 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Editor: IEEE

Model-Adaptive High-Speed Collision Detection for Serial-Chain Robot Manipulators

Autores: Seyed Ali Baradaran Birjandi, Sami Haddadin
Publicado en: 2020 IEEE Robotics and Automation Letters, 2020
Editor: IEEE

Geometric Savitzky-Golay Filtering of Noisy Rotations on SO(3) with Simultaneous Angular Velocity and Acceleration Estimation (se abrirá en una nueva ventana)

Autores: M. Jongeneel, A. Saccon
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/iros47612.2022.9981409

Functional Mode Switching for Safe and Efficient Human-Robot Interaction (se abrirá en una nueva ventana)

Autores: P. Svarny, M. Hamad, A. Kurdas, M. Hoffmann, A. Saeed and S. Haddadin
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/humanoids53995.2022.10000070

Robot-Safe Impacts with Soft Contacts Based on Learned Deformations

Autores: Dehio, Niels; Kheddar, Abderrahmane
Publicado en: ICRA, Edición 1, 2021
Editor: IEEE

Notion on the Correct Use of the Robot Effective Mass in the Safety Context and Comments on ISO/TS 15066

Autores: Kirschner RJ, Mansfeld N, Peña GG, Abdolshah S, Haddadin S.
Publicado en: 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Editor: IEEE

Learning to Hit: A statistical Dynamical System based approach

Autores: Harshit Khurana, Michael Bombile, Aude Billard
Publicado en: IROS 2021, 2021
Editor: IEEE/RSJ International Conference on Intelligent Robots and Systems

Experimental Injury Biomechanics of Human Body Upper Extremities: Anatomy, Injury Severity Classification, and Impact Testing Setups

Autores: Mazin Hamad, Alexander Kurdas, Saeed Abdolshah and Sami Haddadin
Publicado en: 2021 IEEE International Conference on Intelligence and Safety for Robotics (ISR), 2021
Editor: IEEE

Predicting the Post-Impact Velocity of a Robotic Arm via Rigid Multibody Models: an Experimental Study

Autores: Ilias Aouaj; Vincent Padois; Alessandro Saccon
Publicado en: IEEE International Conference on Robotics and Automation (ICRA), 2021
Editor: IEEE

Robot Contact Reflexes: Adaptive Maneuvers in the Contact Reflex Space (se abrirá en una nueva ventana)

Autores: J. Vorndamme, L. F. C. Figueredo, S. Haddadin
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/iros47612.2022.9981904

Robust Cartesian Kinematics Estimation for Task-Space Control Systems (se abrirá en una nueva ventana)

Autores: Seyed Ali Baradaran Birjandi; Niels Dehio; Abderrahmane Kheddar; Sami Haddadin
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/iros47612.2022.9981233

Robot control for simultaneous impact tasks via QP based reference spreading (se abrirá en una nueva ventana)

Autores: J van Steen, N van de Wouw, A Saccon
Publicado en: 2022
Editor: IEEE
DOI: 10.23919/acc53348.2022.9867812

Real-Time IMU-Based Learning: A Classification of Contact Materials (se abrirá en una nueva ventana)

Autores: C. M. Valle, A. A. Kurdas, E. P. Fortunić, S. Abdolshah, S. Haddadin
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/iros47612.2022.9981139

Model-Based 6D Visual Object Tracking with Impact Collision Models (se abrirá en una nueva ventana)

Autores: Maarten Jongeneel; Alexandre Bernardino; Nathan van de Wouw; Alessandro Saccon
Publicado en: 2022 American Control Conference (ACC), 2022
Editor: IEEE
DOI: 10.23919/acc53348.2022.9867622

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