Abigail Pop
Papers
2
Total Citations
13
H-Index
2
About
Dr. Abigail Pop is at the forefront of intelligent rehabilitation robotics and brain-computer interfaces (BCIs), pioneering systems that restore mobility and autonomy. Her research uniquely bridges the gap between upper and lower limb rehabilitation, addressing a critical limitation in current assistive technologies. In her highly cited 2024 work, Dr. Pop developed a novel method for identifying coordinated limb movement intentions using surface EMG signals, a breakthrough that promises more holistic and naturalistic robotic therapy for immobilized patients. This work has already garnered significant attention, accumulating 7 citations shortly after publication. Simultaneously, she is advancing the field of non-invasive control, demonstrating how deep learning models like ASTGCN and EEGNetv4 can be integrated with the Robot Operating System (ROS) to enable intuitive, EEG-based control of mobile robots. Her 2024 paper on this topic, with 6 citations, showcases a powerful synergy between sophisticated neural decoding and practical robotics, offering new possibilities for assistive technologies. Dr. Pop’s work is not only technically rigorous but deeply human-centered, directly tackling the challenge of restoring coordinated movement and independence.
Research Focus
Key Achievements
Top Papers
- 1
- 2EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration6 citations · 2024