Variable Impedance Robots

From a hardware point of view, the main difference between variable impedance robots and traditional rigid robots is the mechanical decoupling of a link from an actuator. This decoupling can be achieved by incorporating variable stiffness and/or damping elements in between an actuator and a link. As a result, variable impedance actuated robots possess the following advantages compared to traditional robots. The first advantage is energy efficiency, which is due to the presence of nonlinear elastic elements. The second benefit is safety. As a result, variable impedance actuated robots are viewed as the main solution for physical human-robot interaction problems. The third advantage is the ability to adjust the natural dynamics of the system. However, these advantages come at a certain cost. One is the difficulty of design. Due to the presence of nonlinear stiffness and/or damping elements, variable impedance actuated robots have more complicated and non-intuitive design compared to traditional stiff robots. Another disadvantage is the control problem. Nonlinear dynamics and complicated design make control aspects of variable impedance actuated robots difficult to implement with traditional control methods, such as PID control. Moreover, intuitive tuning of a controller settings does not guarantee the desired performance, system robustness, and utilization of the system to its full potential. Therefore, our research is focused on design and control of variable impedance/stiffness robots.

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