Chih‐Yung Wen
Papers
10
Total Citations
119
H-Index
7
About
Chih-Yung Wen is a leading researcher in robotics and autonomous systems, with key contributions spanning unmanned aerial and underwater vehicles, sensor fusion, and bio-inspired robotics. His work addresses critical challenges in motion control, autonomous exploration, and robotic manipulation. Notably, his 2024 paper on disturbance observer-based model predictive control for unmanned underwater vehicles (33 citations) provides a robust solution for navigating nonlinear dynamics and external disturbances, significantly advancing UUV autonomy. Wen has also pioneered high-quality indoor mapping through feature-based RGB-D SLAM (17 citations), enabling autonomous robots to explore unknown environments for applications like rescue and 3D modeling. His dynamic modeling and hardware-in-loop simulation for tail-sitter VTOL UAVs (14 citations) offers a practical framework for testing aerial vehicles in hovering flight. Additionally, Wen has explored bio-inspired flapping wing optimization (13 citations) to enhance lift force for micro aerial vehicles, and developed innovative approaches in stereo visual inertial pose estimation (13 citations) and modular soft grippers for aerial grasping. With over 130 total citations, Wen’s work integrates control theory, perception, and design, making him a versatile figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Stereo Visual Inertial Pose Estimation Based on Feedforward and Feedbacks13 citations · 2023
- 5
- 6
- 7A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing8 citations · 2024
- 8
- 9
- 10