• 735 Citations
  • 14 h-Index
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Personal profile

Personal profile

Dr Matteo Rubagotti is an Associate Professor of Robotics and Mechatronics at Nazarbayev University. Previously, he held academic and research positions at the University of Leicester, Leicester, UK, at the University of Trento, Trento, Italy, and at IMT Institute for Advanced Studies, Lucca, Italy. He has 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

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  • 5 Similar Profiles
Model predictive control Engineering & Materials Science
Sliding mode control Engineering & Materials Science
Controllers Engineering & Materials Science
Robots Engineering & Materials Science
Sliding Mode Control Mathematics
Asymptotic stability Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Lyapunov functions Engineering & Materials Science

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

Projects 2018 2022

Motion control
Motion planning
Model predictive control
Human robot interaction
Model predictive control
Reinforcement learning
Stochastic models

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.


Project: Research project

Human robot interaction

Research Output 2007 2019

  • 735 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

Input Constraints
State Constraints
Sliding mode control
Sliding Mode Control
Linear systems

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

Motion planning
Optimal Control
Motion Planning
3 Citations (Scopus)

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

Autonomous Robots
Obstacle Avoidance
Model predictive control
Model Predictive Control
5 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

Convex optimization
Inverse kinematics
Constrained optimization
18 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

Solar collectors
Model predictive control
Energy management
Intelligent buildings