• 746 Citations
  • 14 h-Index
20072022

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Personal profile

Dr Matteo Rubagotti obtained his PhD in Electronics, Computer Science and Electrical Engineering (track in Automatic Control) at the University of Pavia, Pavia, Italy, in 2010. Previously to his post at Nazarbayev University, he was lecturer at the University of Leicester, Leicester, UK, and postdoctoral fellow at the University of Trento, Trento, Italy, and at IMT Institute for Advanced Studies, Lucca, Italy. He also spent visiting periods at the Center for Automotive Research of The Ohio State University, OH, USA, and at the Automatic Control Lab, ETH Zurich, Zurich Switzerland.

Research interests

His research interests include model predictive control, sliding mode control, and the application of control and optimization algorithms to solve research problems in robotics (variable-impedance-actuated robots, parallel manipulators, tensegrity robots, and physical human-robot interaction).

External positions

Fingerprint Dive into the research topics where Matteo Rubagotti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

  • Motion Planning and Control of Tensegrity Robots

    Rubagotti, M. & Varol, H. A.

    1/1/2012/31/22

    Project: Monitored by Research Administration

  • Hardware and Software Based Methods for Safe Human-Robot Interaction with Variable Impedance Robots

    Varol, H. A., Rubagotti, M., Zhakatayev, A., Saudabayev, A., Massalin, Y., Adiyatov, O. & Moldagaliyeva, A.

    3/20/1812/31/20

    Project: Monitored by Research Administration

  • Research Output

    • 746 Citations
    • 14 h-Index
    • 22 Conference contribution
    • 22 Article
    • 3 Conference article

    A Discrete-Time Optimization-Based Sliding Mode Control Law for Linear Systems with Input and State Constraints

    Rubagotti, M., Paolo Incremona, G. & Ferrara, A., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 5940-5945 6 p. 8619503. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Energy-Aware Optimal Control of Variable Stiffness Actuated Robots

    Zhakatayev, A., Rubagotti, M. & Varol, H. A., Apr 1 2019, In : IEEE Robotics and Automation Letters. 4, 2, p. 330-337 8 p., 8598982.

    Research output: Contribution to journalArticle

  • Semi-Autonomous Robot Teleoperation with Obstacle Avoidance via Model Predictive Control

    Rubagotti, M., Taunyazov, T., Omarali, B. & Shintemirov, A., Jul 1 2019, In : IEEE Robotics and Automation Letters. 4, 3, p. 2746-2753 8 p., 8718327.

    Research output: Contribution to journalArticle

  • 3 Citations (Scopus)

    Constrained orientation control of a spherical parallel manipulator via online convex optimization

    Taunyazov, T., Rubagotti, M. & Shintemirov, A., Feb 1 2018, In : IEEE/ASME Transactions on Mechatronics. 23, 1, p. 252-261 10 p.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Optimal energy management of a small-size building via hybrid model predictive control

    Khakimova, A., Kusatayeva, A., Shamshimova, A., Sharipova, D., Bemporad, A., Familiant, Y., Shintemirov, A., Ten, V. & Rubagotti, M., Apr 1 2017, In : Energy and Buildings. 140, p. 1-8 8 p.

    Research output: Contribution to journalArticle

  • 19 Citations (Scopus)