Keling Song
Papers
1
Total Citations
2
H-Index
1
About
Keling Song is a researcher in wireless power transfer and robotics, with a focus on efficient energy delivery systems for humanoid robots. Their most cited work, "Analysis and design of U-shaped wireless power transfer system for humanoid robots" (2024), introduces a novel U-shaped coil configuration that enhances power transfer efficiency and spatial tolerance, addressing key challenges in autonomous robot charging. This contribution is critical for enabling untethered, long-duration operation in humanoid platforms, which demand compact and reliable energy solutions. While their citation count is currently modest—2 citations for this paper—the work represents a foundational step in integrating wireless power systems with robotic mobility. Song’s research bridges electromagnetic design and robotic engineering, offering practical insights for students and engineers developing next-generation autonomous systems. Their approach emphasizes real-world applicability, as seen in the system’s potential to reduce mechanical wear and improve operational safety. As the field of humanoid robotics expands, Song’s contributions are poised to gain recognition for advancing energy autonomy in complex robotic environments.
Research Focus
Key Achievements
Top Papers
- 1