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Zoom Lab
Compliant Systems for Mechanical Intelligence

There is an increasing demand for more adaptable, mobile, and flexible robots in complex environments. In Zoom Lab, solutions focus on learning and controls algorithms and embedded intelligence in mechanical structures.

We explore designing novel robotic systems inspired by biology: Zoom in to understand the mechanisms of small scale physics of locomotion in different environments and build engineering prototypes that perform the motion we observe in nature. In order to achieve this, we search for multi-functional materials and develop fabrication strategies. Then we zoom out to utilize our findings in answering questions of biology, developing engineering systems such as novel actuators, and building robots for various applications areas including surgical robotics, search-and-rescue, multi-agent systems, and micromanipulation.

Displaying 20 Publications

2024
Master's Thesis, Tech. Report, CMU-RI-TR-24-23, August, 2024
Chris Chang
Master's Thesis, Tech. Report, CMU-RI-TR-24-41, August, 2024
Zilin Si, Kevin Lee Zhang, Zeynep Temel, and Oliver Kroemer
Conference Paper, Proceedings of (RSS) Robotics Science and Systems, March, 2024
Journal Article, IEEE Robotics and Automation Letters, Vol. 9, No. 2, pp. 1795-1802, January, 2024
2023
Master's Thesis, Tech. Report, CMU-RI-TR-23-79, December, 2023
Conference Paper, Proceedings of (RSS) Robotics Science and Systems, July, 2023
Sarvesh Patil; Tony Tao; Tess Hellebrekers; Oliver Kroemer; F. Zeynep Temel
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 10324-10330, July, 2023
Master's Thesis, Tech. Report, CMU-RI-TR-23-18, May, 2023
Master's Thesis, Tech. Report, CMU-RI-TR-23-12, May, 2023
2022
Sarvesh Patil and Samuel C. Alvares and Pragna Mannam and Oliver Kroemer and F. Zeynep Temel
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, October, 2022