Projects per year
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
- 3 Active
Motion control
Motion planning
Manipulators
Robots
Model predictive control
Stochastic and learning-based predictive control methods for physical human-robot interaction.
Rubagotti, M., Sandygulova, A., Shintemirov, A., Yessenbayev, Z. & Summers, D.
1/1/20 → 12/31/22
Project: Research project
Human robot interaction
Model predictive control
Reinforcement learning
Stochastic models
Manipulators
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.
3/20/18 → 12/31/20
Project: Research project
Human robot interaction
Robots
Hardware
Wheels
Robotics
Research Output 2007 2019
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 proceeding › Conference 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 journal › Article
Motion planning
Stiffness
Optimal Control
Motion Planning
Robot
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 journal › Article
Teleoperation
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 journal › Article
Convex optimization
Manipulators
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 journal › Article
Solar collectors
Model predictive control
Energy management
Intelligent buildings
Controllers