Ngoc-Linh Tao
Papers
1
Total Citations
6
H-Index
1
About
Dr. Ngoc-Linh Tao is a robotics researcher whose work focuses on advancing motion planning and control for robotic manipulators. Her key research areas include inverse kinematics, optimization algorithms, and redundant serial manipulator systems. Dr. Tao's most notable contribution is her innovative application of the Particle Swarm Optimization (PSO) algorithm to solve the Inverse Kinematic (IK) problem for 5-degree-of-freedom robots. Her 2020 paper, "Apply PSO Algorithm with Searching Space Improvements on a 5 Degrees of Freedom Robot," introduces a critical enhancement by considering the continuity of joint variables—a factor often overlooked in traditional approaches. This improvement significantly refines the solution space, leading to more efficient and realistic motion trajectories. With 6 citations, this work has already garnered attention from peers in the field, demonstrating its practical value for robotics applications. Dr. Tao's research bridges the gap between theoretical optimization and real-world robotic control, offering a robust framework for handling complex, redundant systems. Her contributions are particularly relevant for researchers and students exploring advanced motion planning, as they provide a clear methodology for improving algorithm performance in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1