Papers
7
Total Citations
49
H-Index
3
About
Chih-Ming Hsu is a robotics researcher whose work focuses on perception, navigation, and sensor fusion for autonomous systems. His primary research areas include 3D object recognition, robotic grasping, autonomous driving perception, and path planning. Hsu’s most impactful contribution is a novel 3D feature descriptor based on a modified Viewpoint Feature Histogram, enabling six-degree-of-freedom object recognition and registration for robotic grasping—work that has garnered 22 citations. He has also advanced traffic scene understanding by developing methods to detect drivable space and moving obstacles in dynamic environments, a fundamental requirement for intelligent vehicles. Hsu’s work on online recalibration of camera-LiDAR systems addresses a critical challenge in sensor fusion for robotics and autonomous driving. More recently, he has explored continuous-curvature path planning using hierarchical logistic curves and efficient path planning with leading rapidly-exploring random trees. His research spans practical applications from factory unmanned vehicles to delivery systems, demonstrating a commitment to bridging perception and navigation for real-world autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2Detecting drivable space in traffic scene understanding10 citations · 2012
- 3Online Recalibration of a Camera and Lidar System7 citations · 2018
- 4A Case Study of Object Identification Using a Kinect Sensor3 citations · 2013
- 5
- 6
- 7Analysis of a Quadrotor with a Two-Degree-of-Freedom Robotic Arm2 citations · 2016