Author

László Kovács

2 papers indexed here

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Open access Oct 2026

Model-free inverse kinematics of industrial robots using angle-aware LSTM networks

Inverse kinematics is a fundamental problem in industrial robot control, typically addressed by analytical or numerical methods that require explicit geometric models and are sensitive to singularities. This paper proposes a temporal long short-term memory network with an angle-aware loss function for model-free inve...

Ali Jlidi, R. Benotsmane, László Kovács · Pollack Periodica · 0 citations

Open access Jul 2026

Explainable Graph Neural Networks Towards Data-Driven Inverse Kinematics in Industrial Robot Motion Planning

XGNN complements analytical and numerical IK methods as an interpretable, calibration-robust warm start when DH parameters are unavailable, proprietary, or degraded, and provides the strongest warm start for DLS refinement.

Ali Jlidi, Rabab Benotsmane, László Kovács · Electronics · 0 citations