activity
20092025
most citedCompliance error compensation technique for parallel robots composed of non-perfect serial chains

69 citations · 291 across the 34 of their papers we have counts for

collaborators

36 papers

cs.RO2025

MSA - Technique for Stiffness Modeling of Manipulators with Complex and Hybrid Structures

Alexandr Klimchik, Anatol Pashkevich, Damien Chablat

The paper presents a systematic approach for stiffness modeling of manipulators with complex and hybrid structures using matrix structural analysis. In contrast to previous results…

cs.RO2023★ 1 cited

Robust explicit model predictive control for hybrid linear systems with parameter uncertainties

Oleg Balakhnov, Sergei Savin, Alexandr Klimchik

Explicit model-predictive control (MPC) is a widely used control design method that employs optimization tools to find control policies offline; commonly it is posed as a semi-defi…

cs.RO2023★ 16 cited

Residual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles

Geesara Kulathunga, Hany Hamed, Alexandr Klimchik

This paper presents a technique to cope with the gap between high-level planning, e.g., reference trajectory tracking, and low-level controlling using a learning-based method in th…

cs.RO2022★ 1 cited

Motion Planning for Multirotor Aerial Vehicles in Plan-based Control Paradigm: a Review

Geesara Kulathunga, Alexandr Klimchik

In general, optimal motion planning can be performed both locally and globally. In such a planning, the choice in favour of either local or global planning technique mainly depends…

cs.RO2022

Non-linear stiffness behavior of planar serial robotic manipulators

Wanda Zhao, Alexandr Klimchik, Anatol Pashkevich +1

The paper focuses on the stiffness analysis of multi-link serial planar manipulators, which may demonstrate nonlinear stiffness behavior under the compressive loading. Two importan…

cs.RO2022

Optimization-based Trajectory Tracking Approach for Multi-rotor Aerial Vehicles in Unknown Environments

Geesara Kulathunga, Hany Hamed, Dmitry Devitt +1

The goal of this paper is to develop a continuous optimization-based refinement of the reference trajectory to 'push it out' of the obstacle-occupied space in the global phase for…