Borysenko Ph. Volodymyr
Papers
1
Total Citations
9
H-Index
1
About
Dr. Volodymyr Borysenko is a researcher whose work bridges robotics, neuroscience, and human–machine interaction, with a particular focus on physical human–robot collaboration. His most cited paper, "Physical human–robot interaction in the handshaking case: learning of rhythmicity using oscillators neurons" (2013, 9 citations), introduces a novel approach to enabling robots to learn and replicate the rhythmic, natural dynamics of human handshaking using neural oscillator models. This contribution addresses a fundamental challenge in social robotics—how to make robots respond intuitively and comfortably during physical contact. By integrating principles from biological neural networks, Borysenko’s work advances the development of robots that can adapt their movements in real time, enhancing safety and user experience in collaborative settings. Though his citation count reflects a specialized niche, his research has implications for rehabilitation robotics, assistive devices, and humanoid interaction. Borysenko’s focus on rhythmic learning and oscillatory control positions him as a contributor to the growing field of embodied AI, where machines learn from human motion to foster more natural, empathetic partnerships.
Research Focus
Key Achievements
Top Papers
- 1