A. Pogromsky

About

A. Pogromsky is a versatile researcher whose work spans nonlinear dynamics, soft robotics, and control systems — a rare combination that bridges fundamental theory with cutting-edge engineering applications. Perhaps most recognized for contributions to synchronization phenomena, Pogromsky's highly cited 2021 study on coupled liquid crystalline oscillators in Huygens' synchrony (133 citations) demonstrates deep expertise in nonlinear dynamical systems. Beyond classical dynamics, Pogromsky has made significant strides in soft robotics, developing computational frameworks for pressure-driven robot design through topology optimization and pioneering control-oriented models grounded in differential geometry and Cosserat beam theory. These contributions help close a critical gap between material science and real-world robot control. The release of Sorotoki, an open-source MATLAB toolkit for soft robot design, modeling, and control, reflects a commitment to making complex research accessible to the broader community. Additional work on hybrid mechanical systems and event-triggered observation schemes under data rate constraints reveals strength in rigorous control-theoretic analysis. With publications spanning over a decade and citations accumulating across multiple disciplines, Pogromsky's research portfolio represents an important and growing contribution to modern robotics and dynamical systems science.

Research Focus

Key Achievements

Top Papers

1. 1
   Coupled liquid crystalline oscillators in Huygens’ synchrony

   133 citations · 2021
2. 2
   A Computational Design Framework for Pressure-driven Soft Robots through Nonlinear Topology Optimization

   32 citations · 2020
3. 3
   Control-Oriented Models for Hyperelastic Soft Robots Through Differential Geometry of Curves

   30 citations · 2022
4. 4
   Dynamics and Control of Hybrid Mechanical Systems

   23 citations · 2010
5. 5
   Sorotoki: A Matlab Toolkit for Design, Modeling, and Control of Soft Robots

   19 citations · 2024
6. 6
   Energy-Shaping Controllers for Soft Robot Manipulators Through Port-Hamiltonian Cosserat Models

   17 citations · 2022
7. 7
   Dynamic modeling of hyper-elastic soft robots using spatial curves

   16 citations · 2020
8. 8
   An event-triggered observation scheme for systems with perturbations and data rate constraints

   11 citations · 2022
9. 9
   Energy-based Control for Soft Manipulators using Cosserat-beam Models

   2 citations · 2021
10. 10
    Observing a Unicycle Robot with Data Rate Constraints: a Case Study

    2 citations · 2021

Key Collaborators

Contact & Links