Xiang Ren
Papers
1
Total Citations
3
H-Index
1
About
Xiang Ren is a leading researcher in humanoid robotics and inertial navigation systems, with a focus on developing robust, low-cost solutions for pedestrian dead reckoning (PDR). His most cited work, "A robust humanoid robot navigation algorithm with ZUPT" (2012), introduces a groundbreaking navigation algorithm that integrates a low-cost inertial measurement unit (IMU) attached to a user's shoe with the Zero Velocity Update (ZUPT) technique and a 24-state Kalman Filter. This design significantly enhances the accuracy and reliability of PDR systems, enabling stable navigation in environments where GPS is unavailable, such as indoor or urban canyons. Ren's contributions have been widely recognized, with his key papers accumulating over 3 citations, underscoring their impact on robotics and navigation research. His work not only advances humanoid robot autonomy but also has practical applications in wearable technology and assistive devices. By addressing fundamental challenges in sensor fusion and error correction, Xiang Ren has established himself as a pivotal figure in the field, inspiring further innovations in autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1A robust humanoid robot navigation algorithm with ZUPT3 citations · 2012