Papers
1
Total Citations
2
H-Index
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About
Wenhao Ji is a robotics researcher whose work centers on advancing pose estimation—a critical capability for autonomous systems. His most-cited paper, "Pose Estimation based on a Dual Quaternion Feedback Particle Filter" (2022), tackles the fundamental challenge of balancing computational efficiency with accuracy in robotic applications like SLAM, manipulation, and 3D point registration. Ji’s key contribution lies in developing a novel approach that leverages dual quaternion representations within a feedback particle filter framework, overcoming the traditional trade-off between high computational overhead from nonlinear features and accuracy loss from linear approximations. This work has garnered attention in the field, with 2 citations to date, and represents a meaningful step toward more robust, real-time pose estimation for autonomous robots. By addressing a core bottleneck in robotic perception, Ji’s research has implications for improving the reliability and performance of systems ranging from autonomous vehicles to industrial manipulators. His work exemplifies the kind of targeted, technically rigorous innovation that pushes the boundaries of what robots can perceive and achieve in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Pose Estimation based on a Dual Quaternion Feedback Particle Filter2 citations · 2022