Vlad Ovidiu Mihalca

Papers

Total Citations

H-Index

About

Vlad Ovidiu Mihalca is a researcher whose work bridges the critical intersection of rehabilitation robotics and intelligent control systems. His primary research areas include assistive hand exoskeleton technologies and the integration of deep learning into target tracking for advanced control applications. Mihalca’s most notable contribution is a comprehensive review of hand exoskeleton technologies for rehabilitation, which has garnered 11 citations. This seminal paper systematically analyzes robotic devices designed to restore motor functions in the human hand, offering a statistical overview of emerging trends in the field—a foundational resource for researchers developing next-generation rehabilitation aids. More recently, Mihalca has ventured into the integration of deep learning within target tracking systems, a key enabler for control systems used in domains like autonomous vehicle collision avoidance. This work, published in 2024, highlights his forward-looking approach to applying artificial intelligence to real-world control challenges. With a focus on translating complex technologies into practical solutions, Mihalca’s research continues to influence both the rehabilitation engineering and intelligent control communities, offering valuable insights for students and researchers exploring human-robot interaction and AI-driven automation.