Zhaolong Gao
Papers
2
Total Citations
79
H-Index
2
About
Zhaolong Gao is a researcher at the forefront of biomedical engineering and assistive robotics, with key contributions spanning wireless power transfer and intelligent prosthetic control. His early groundbreaking work introduced a novel mat-based system for position-varying wireless power transfer to biomedical implants, leveraging magnetically resonant coupling to deliver power over distance to moving targets—a critical advancement for transcutaneous medical implants. This highly cited paper (76 citations) laid foundational work for dynamic, patient-friendly implant powering. More recently, Gao has pioneered the application of deep reinforcement learning to prosthetic hand control. His 2020 study on continuous shared control using Deep Deterministic Policy Gradient with Hindsight Experience Replay addresses a core challenge in prosthetics: enabling precise, adaptive finger movements while leveraging the user’s natural ability to plan reach and grasp location. Though still early in its citation impact (3 citations), this work represents a significant step toward intuitive, responsive prosthetic hands that can gently adapt to object surfaces without excessive force. Gao’s research bridges critical gaps between power delivery and intelligent control, advancing both implantable medical devices and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
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- 2