Navid Dini
Papers
7
Total Citations
98
H-Index
6
About
Navid Dini’s research focuses on the dynamic control and stabilization of legged and wheeled robots, with a particular emphasis on quadruped locomotion, disturbance rejection, and sensor-less state estimation. His most influential work, “An MPC-based two-dimensional push recovery of a quadruped robot in trotting gait using its reduced virtual model” (42 citations), introduces a model predictive control framework that enables a quadruped to recover from external pushes while trotting—a critical capability for real-world deployment. Dini has also made significant contributions to force estimation without physical sensors; his 2016 paper on using two nonlinear disturbance observers to estimate external leg forces (18 citations) has been foundational for robust, low-cost legged systems. His work on sliding-mode control with push recovery (10 citations) and time-varying extended state observers for nonlinear systems (9 citations) further demonstrates his depth in control theory. Dini’s research has practical implications for search-and-rescue robotics, prosthetics, and autonomous mobility, and his publications have collectively garnered over 90 citations, establishing him as a rising authority in robot locomotion and disturbance-robust control.
Research Focus
Key Achievements
Top Papers
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- 5Model predictive control of a wheeled inverted pendulum robot7 citations · 2015
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