Tensegrity Robotics

Tensegrity is a spatial structure composed of a set of axially loaded compression elements (also called as the bars and struts) held isolated from each other by means of continuous tensile elements (the strings). The shape of the tensegrity is maintained by the balance between compression and tensile forces of the bars and strings. Since no element experiences bending or shear forces, the tensegrity allows lightweight and strong designs.

All Publications

Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes.

Baimukashev, D.; Zhilisbayev, A.; Kuzdeuov, A.; Oleinikov, A.; Fadeyev, D.; Makhataeva, Z.; and Varol, H. A.

Machine Learning and Knowledge Extraction, 1(3): 883–903. 2019.

Human grasping database for activities of daily living with depth, color and kinematic data streams.

Saudabayev, A.; Rysbek, Z.; Khassenova, R.; and Varol, H. A.

Scientific Data, 5: 180101 EP -. 05 2018.

Vital sign monitoring utilizing Eulerian video magnification and thermography.

Aubakir, B.; Nurimbetov, B.; Tursynbek, I.; and Varol, H. A.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3527-3530, Aug 2016.

ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics.

Nurimbetov, B.; Saudabayev, A.; Temiraliuly, D.; Sakryukin, A.; Serekov, A.; and Varol, H. A.

2015 IEEE/SICE International Symposium on System Integration (SII), pages 587-592, Dec 2015