Publikationen
Showing results 1 - 6 out of 6
Mohammad, A., Muscheid, H., Schappler, M., & Seel, T. (2024). Quantifying Uncertainties of Contact Classifications in a Human-Robot Collaboration with Parallel Robots. 137-150. https://doi.org/10.1007/978-3-031-55000-3_10
Mohammad, A., Schappler, M., & Ortmaier, T. (2023). Collision Isolation and Identification Using Proprioceptive Sensing for Parallel Robots to Enable Human-Robot Collaboration. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5910-5917). ( Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). https://doi.org/10.48550/arXiv.2308.09650, https://doi.org/10.1109/iros55552.2023.10342345
Mohammad, A., Rezaei, R., Hayduk, C., Delebinski, T., Shahpouri, S., & Shahbakhti, M. (2023). Physical-oriented and machine learning-based emission modeling in a diesel compression ignition engine: Dimensionality reduction and regression. International Journal of Engine Research, 24(3), 904-918. Advance online publication. https://doi.org/10.1177/14680874211070736
Mohammad, A., Schappler, M., Habich, T-L., & Ortmaier, T. (2023). Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5966-5973). (Key-title Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.48550/arXiv.2308.09656, https://doi.org/10.1109/iros55552.2023.10341581
Mohammad, A., Schappler, M., & Ortmaier, T. (2023). Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection. In Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation (pp. 12092-12098). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRA48891.2023.10161217, https://doi.org/10.1109/ICRA48891.2023.10161217
Mohammad, A., Rezaei, R., Hayduk, C., Delebinski, T. O., Shahpouri, S., & Shahbakhti, M. (2021). Hybrid Physical and Machine Learning-Oriented Modeling Approach to Predict Emissions in a Diesel Compression Ignition Engine. SAE Technical Papers, (2021). https://doi.org/10.4271/2021-01-0496