Johannes Kuehn
Orcid: 0000-0003-2537-9160
According to our database1,
Johannes Kuehn
authored at least 13 papers
between 2017 and 2024.
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Bibliography
2024
Nat. Mac. Intell., 2024
A transhumeral prosthesis with an artificial neuromuscular system: Sim2real-guided design, modeling, and control.
Int. J. Robotics Res., 2024
2023
A Wearable Force-Sensitive and Body-Aware Exoprosthesis for a Transhumeral Prosthesis Socket.
IEEE Trans. Robotics, June, 2023
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Comparison of Different Excitation Strategies for Fault Diagnosis of Belt Drives: Industrial Application Scenarios.
Proceedings of the 19th International Conference on Informatics in Control, 2022
2021
An Integrated, Force-Sensitive, Impedance Controlled, Tendon-Driven Wrist: Design, Modeling, and Control.
Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021
2020
Observer-Extended Direct Method for Collision Monitoring in Robot Manipulators Using Proprioception and IMU Sensing.
IEEE Robotics Autom. Lett., 2020
2019
Joint Velocity and Acceleration Estimation in Serial Chain Rigid Body and Flexible Joint Manipulators.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Towards Semi-Autonomous and Soft-Robotics Enabled Upper-Limb Exoprosthetics: First Concepts and Robot-Based Emulation Prototype.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Dynamics simulation for an upper-limb human-exoskeleton assistance system in a latent-space controlled tool manipulation task.
Proceedings of the 2018 IEEE International Conference on Simulation, 2018
Identification of Human Shoulder-Arm Kinematic and Muscular Synergies During Daily-Life Manipulation Tasks.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
An Artificial Robot Nervous System To Teach Robots How To Feel Pain And Reflexively React To Potentially Damaging Contacts.
IEEE Robotics Autom. Lett., 2017