Hardware and software architecture for anthropomorphic robot hand control system
https://doi.org/10.17586/0021-3454-2022-65-3-164-173
Abstract
The results of the development and implementation of hardware and software architecture for the control system of an adaptive anthropomorphic robotic hand are presented. The research focuses on possibility of integrating the proposed robotic hand into the iCub robot’s control system while preserving the functionality and flexibility of implementing control algorithms. It has been achieved by prototyping the control system as an independent module connected to the iCub robot via network interface Ethernet. The data exchange between the gripper and the iCub robot has high stability and performance with a control frequency of 2 kHz with a delay less than 310 us and a jitter below 50 us. Testing of the control system’s software and hardware architecture demonstrated high accuracy in position control (± 1 ) and force control (± 0,15 N) for fingers’ proximal phalanges.
About the Authors
D. V. IvolgaRussian Federation
Dmitry V. Ivolga — Post-Graduate Student; ITMO University, Faculty of Control Systems and Robotics, International Laboratory of Biomechatronics and Energy-Efficient Robotics.
St. Petersburg
E. E. Khomutov
Russian Federation
Evgenу E. Khomutov — Post-Graduate Student; ITMO University, Faculty of Control Systems and Robotics, International Laboratory of Biomechatronics and Energy-Efficient Robotics.
St. Petersburg
I. I. Borisov
Russian Federation
Ivan I. Borisov — PhD; ITMO University, Faculty of Control Systems and Robotics, International Laboratory of Biomechatronics and Energy-Efficient Robotics; Researcher.
St. Petersburg
N. A. Molchanov
Russian Federation
Nikita A. Molchanov — Sberbank, Robotics Laboratory; Senior Engineer-Designer.
Moscow
I. A. Maksimov
Russian Federation
Ivan A. Maksimov — Sberbank, Robotics Laboratory; Senior Engineer-Designer.
Moscow
S. A. Kolyubin
Russian Federation
Sergey A. Kolyubin — Dr. Sci., Associate Professor; ITMO University, Faculty of Control Systems and Robotics, International Laboratory of Biomechatronics and Energy-Efficient Robotics; Leading Researcher.
St. Petersburg
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Review
For citations:
Ivolga D.V., Khomutov E.E., Borisov I.I., Molchanov N.A., Maksimov I.A., Kolyubin S.A. Hardware and software architecture for anthropomorphic robot hand control system. Journal of Instrument Engineering. 2022;65(3):164-173. (In Russ.) https://doi.org/10.17586/0021-3454-2022-65-3-164-173