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Shamil Mamedov

4 accepted papers

2025

Learning Deformable Linear Object Dynamics From a Single Trajectory

RA-L 2025

The dynamic manipulation of deformable objects poses a significant challenge in robotics. While model-based approaches for controlling such objects hold significant potential, their effectiveness hinges on the availability of an accurate and computationally efficient dynamics model. This work focuse

Cited by 4Source ↗Scholar ↗
2024

Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations

IROS 2024poster

Accurately predicting deformable linear object (DLO) dynamics is challenging, especially when the task requires a model that is both human-interpretable and computationally efficient. In this work, we draw inspiration from the pseudo-rigid body method (PRB) and model a DLO as a serial chain of rigid…

Cited by 0Source ↗Scholar ↗
2024

Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots

IROS 2024poster

Flexible robots may overcome some of the industry’s major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to their complex dynamics, which include oscillatory behavior and…

Cited by 2Source ↗code ↗Scholar ↗
2023

An Optimal Open-Loop Strategy for Handling a Flexible Beam with a Robot Manipulator

ICRA 2023poster

Fast and safe manipulation of flexible objects with a robot manipulator necessitates measures to cope with vibrations. Existing approaches either increase the task execution time or require complex models and/or additional instrumentation to measure vibrations. This paper develops a model-based meth…

Cited by 2Source ↗code ↗Scholar ↗