Here the scientific publications (primarily journal and conference papers) can be found, that have been produced in the project.

  • 2020

    S A Baradaran Birjandi, S Haddadin  
    Model-Adaptive High-Speed Collision Detection for Serial-Chain Robot Manipulators  
    IEEE Robotics and Automation Letters (RA-L) 2020 
    https://ieeexplore.ieee.org/document/9162464 

  • 2021

    Niels Dehio, Abderrahmane Kheddar  
    Safe Impacts with Soft Contacts Based on Learned Deformations  
    IEEE Robotics and Automation Letters (RA-L) and ICRA 2021  
    https://hal.archives-ouvertes.fr/hal-02973947 

    Ilias Aouaj, Vincent Padois, Alessandro Saccon   
    Predicting the post-impact velocity of a robotic arm  
    IEEE International Conference on Robotics and Automation (ICRA) 2021 
    https://hal.archives-ouvertes.fr/hal-02434909/ 

    N Dehio, A Kheddar  
    Robot-Safe Impacts with Soft Contacts Based on Learned Deformations 
    IEEE International Conference on Robotics and Automation (ICRA) 2021 
    https://ieeexplore.ieee.org/document/9561678  

    R J Kirschner, J Jantalia J, N Mansfeld, S Abdolshah, S Haddadin, 
    CSM: Contact Sensitivity Maps for Benchmarking Robot Collision Handling Systems  
    IEEE International Conference on Robotics and Automation (ICRA) 2021  
    https://ieeexplore.ieee.org/document/9561528 

    H Khurana, M Bombile Bosongo, A Billard, 
    Learning to Hit: A statistical Dynamical System based approach  
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 
    https://ieeexplore.ieee.org/document/9635976 

    J Vorndamme, S Haddadin  
    Rm-Code: Proprioceptive Real-Time Recursive Multi-Contact Detection, Isolation and Identification  
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 
    https://ieeexplore.ieee.org/document/9636091 

    R J Kirschner, A Kurdas, K Karacan, P Junge, S A Baradaran Birjandi, N Mansfeld, S Abdolshah, S Haddadin 
    Towards a Reference Framework for Tactile Robot Performance and Safety Benchmarking  
    International Conference on Intelligent Robots and Systems (IROS) 2021  
    https://ieeexplore.ieee.org/document/9636329 

    R J Kirschner, N Mansfeld, S Abdolshah, S Haddadin  
    Experimental Analysis of Impact Forces in Constrained Collisions According to ISO/TS 15066  
    IEEE International Conference on Intelligence and Safety for Robotics (ISR) 2021 
    https://ieeexplore.ieee.org/document/9419494 

    R J Kirschner, N Mansfeld, G Gomez Pena, S Abdolshah, S Haddadin  
    Notion on the Correct Use of the Robot Effective Mass in the Safety Context and Comments on ISO/TS 15066 
    IEEE International Conference on Intelligence and Safety for Robotics (ISR) 2021 
    https://ieeexplore.ieee.org/document/9419495 

    M Hamad, A Kurdas, S Abdolshah S Haddadin  
    A Robotics Perspective on Experimental Injury Biomechanics of Human Body Upper Extremities  
    IEEE International Conference on Intelligence and Safety for Robotics (ISR) 2021 
    https://ieeexplore.ieee.org/document/9419570 

    M Hamad, A Kurdas, S Abdolshah S Haddadin  
    Experimental Injury Biomechanics of Human Body Upper Extremities: Anatomy, Injury Severity Classification, and Impact Testing Setups  
    IEEE International Conference on Intelligence and Safety for Robotics (ISR) 2021
    https://ieeexplore.ieee.org/document/9419569 

  • 2022

    Y Wang, N Dehio, A Kheddar 
    On Inverse Inertia Matrix and Contact-Force Model for Robotic Manipulators at Normal Impacts 
    IEEE Robotics and Automation Letters (RA-L), 2022 
    https://ieeexplore.ieee.org/document/9691802  

    M Jongeneel, A Bernardino, N van de Wouw, A Saccon  
    Model-Based 6D Visual Object Tracking with Impact Collision Models  
    IEEE-CSS American Control Conference (ACC), 2022 
    https://gitlab.tue.nl/robotics-lab-public/impact-aware-object-tracking (preprint) 

    J van Steen, N van de Wouw, A Saccon 
    Robot control for simultaneous impact tasks via QP based reference spreading 
    IEEE-CSS American Control Conference (ACC), 2022 
    https://arxiv.org/abs/2111.05211 (preprint) 

I.AM. has received funding from the European Union's Horizon 2020 Research and Innovation Programme (call: H2020-ICT-09-2019-2020, RIA) under Grant Agreement No. 871899