Papers
1
Total Citations
8
H-Index
1
About
Ting-Jui Ho is a robotics researcher whose work focuses on autonomous navigation and path planning for mobile robots operating in complex, three-dimensional environments. His key contributions lie in developing geometrically rigorous approaches to robot motion, particularly by modeling terrain as smooth manifolds and applying geodesic-based algorithms for efficient, safe path planning. In his most cited work, "Path Planning and Replanning for Mobile Robot Navigation on 3D Terrain: An Approach Based on Geodesic" (2016, 8 citations), Ho introduced a novel method for navigating robots across uneven terrain with obstacles, representing hazardous regions as dynamically scaled circles that adjust based on threat level. This approach enables real-time replanning, making it highly relevant for field robotics in unstructured outdoor settings. Ho’s research bridges differential geometry and practical robotics, offering elegant mathematical solutions to real-world navigation challenges. His work is particularly valuable for students and researchers interested in autonomous systems, terrain-adaptive algorithms, and the integration of geometric theory into robotic mobility.
Research Focus
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Top Papers
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