Combining Force-Controlled Adaptive Feedrate and Human-Robot Collaborative Strategies to Handle Non-repetitive Micro-drilling Tasks. - Xiangyu Wang; Siqin Dong; Parimal Prajapati; Oleksandr Kravchenko; Krishnanand N. Kaipa (CASE, 2020)

A Robotics-Inspired Screening Algorithm for Molecular Caging Prediction. - Oleksandr Kravchenko; Anastasiia Varava; Florian T. Pokorny; Didier Devaurs; Lydia E. Kavraki; Danica Kragic (J. Chem. Inf. Model., 2020)

Herding by caging: a formation-based motion planning framework for guiding mobile agents. - Haoran Song; Anastasiia Varava; Oleksandr Kravchenko; Danica Kragic; Michael Yu Wang; Florian T. Pokorny; Kaiyu Hang (Auton. Robots, 2021)

Development of a Method for Evaluating the Technical Condition of a Car's Hybrid Powertrain. - Oleksiy Bazhinov; Juraj Gerlici; Oleksandr Kravchenko; Yevhen Haiek; Tetiana Bazhynova; Ruslan Zaverukha; Kateryna Kravchenko (Symmetry, 2021)

Towards A Patient-Specific Obstetric Simulator Through Opensim Musculoskeletal Modeling. - Bahador Dodge; Hunter J. Bennett; Oleksandr Kravchenko; Von Jamora; Marco P. L. Parente; Renato M. Natal Jorge; Dulce Oliveira; Marlies Nitschke; Anne D. Koelewijn; Andrew Moore; Menachem Miodovnik; Michel A. Audette (ANNSIM, 2023)

Recognition of Explosive Devices Based on the Detectors Signal Using Machine Learning Methods. - Lesia I. Mochurad; Vitalii Savchyn; Oleksandr Kravchenko (IntelITSIS, 2023)

Recognition of local fiber orientation state in prepreg platelet molded composites via deep learning. - Richard Larson; Reshad Hoque; Von Jamora; Jiang Li; Sergii G. Kravchenko; Oleksandr Kravchenko (Eng. Appl. Artif. Intell., 2024)