Elena Gaponenko
Papers
20
Total Citations
106
H-Index
6
About
Elena Gaponenko is a leading researcher in robotics, specializing in the kinematics, dynamics, and trajectory planning of parallel and multi-robotic systems. Her work addresses critical challenges in safe navigation and precision control, particularly through the determination of singularity-free and interference-free workspaces. Among her most impactful contributions is a 2021 study on multi-robotic system trajectory planning (16 citations), which defines structural constraints for safe group robot navigation. She has also developed optimization algorithms for approximating solution sets of nonlinear inequalities to determine robot workspaces (11 citations), and pioneered neural network-based intelligent computing for parallel robot kinematics and control (7 citations). Gaponenko’s recent work extends to agricultural robotics, including algorithms for fruit harvesting platforms and gripper design for apple picking (5 citations each). Her research integrates computer-aided modeling, screw calculus for structural synthesis, and 3D kinematic modeling in systems like SOLIDWORKS and NX. With over 70 total citations across her publications, Gaponenko’s contributions are advancing the practical deployment of parallel robots in manufacturing, biological fluid handling, and agriculture.
Research Focus
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