Peter Kappel
Doctoral Researcher
Cluster of Excellence livMatS @ FIT – Freiburg Center for Interactive Materials and Bioinspired Technologies
Plant Biomechanics Group Freiburg (PBMG), Botanic Garden
University of Freiburg
Phone: +49 761 203 95110
Email: peter.kappel@biologie.uni-freiburg.de
Project
Demonstrator for soft autonomous machines – soft robotic low energy gripper systems with sensing capabilities based on livMatS Materials
In this project, I am developing a bio-inspired macroscopic soft robotic gripper that will recognize the properties of an object, such as shape, size, weight, and fragility, and adapt its grasping adequately and with appropriate force. This adaptation is to be achieved through decentralized material-immanent processing and material-based embodied intelligence, respectively. By developing and building a modular gripper platform, it will be possible to integrate multi-material systems and sensors developed in livMatS in the future.
First supervisor
Publications in livMatS
- A Pneumatic Bending Actuator System Inspired by the Avian Tendon Locking Mechanism*
Kappel, P., Kürner, L., Speck, T., & Tauber, F. (2023). A Pneumatic Bending Actuator System Inspired by the Avian Tendon Locking Mechanism. In: Meder, F., Hunt A., Margheri, L., Mura, A. & Mazzolai, B. (eds.): Biomimetic and Biohybrid Systems. Living Machines 2023. Lecture Notes in Computer Science (pp. 84-100). Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-39504-8_6 - Application-Oriented Comparison of Two 3D Printing Processes for the Manufacture of Pneumatic Bending Actuators for Bioinspired Macroscopic Soft Gripper Systems*
Kappel, P., Kramp, C., Speck, T., & Tauber, F. J. (2022). Application-Oriented Comparison of Two 3D Printing Processes for the Manufacture of Pneumatic Bending Actuators for Bioinspired Macroscopic Soft Gripper Systems. In: Hunt, A., et al. (eds.), Biomimetic and Biohybrid Systems. Living Machines 2022. Lecture Notes in Computer Science (pp. 54–67), vol 13548. Springer, Cham. doi: 10.1007/978-3-031-20470-8_6
* Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC-2193/1 – 390951807