Pannawit Srisuk

King Mongkut's Institute of Technology Ladkrabang

Papers

Total Citations

H-Index

About

Pannawit Srisuk is a robotics and intelligent systems researcher whose work centers on the intersection of neural networks and robotic kinematics. His most significant contributions address one of robotics' fundamental challenges: solving inverse kinematics problems — determining the precise joint configurations needed to position a robotic arm's end-effector at a desired location in three-dimensional space. Srisuk's most-cited work, "Inverse kinematics solution using neural networks from forward kinematics equations" (2017, 32 citations), introduced an innovative neural network framework that leverages forward kinematics equations to derive inverse kinematics solutions, offering a more computationally elegant alternative to traditional analytical methods. His complementary paper on forward kinematic-like neural networks (2017, 19 citations) further refined this approach, restructuring how neural networks are trained for 3D reaching problems. Together, these two publications have accumulated over 50 citations, establishing him as a notable contributor in learning-based robotics control. Beyond theoretical kinematics, Srisuk extends his research toward meaningful real-world applications. His work on intelligent meal assistant robotic arms demonstrates a commitment to assistive technology, designing systems that improve quality of life for paralyzed and severely handicapped individuals — showcasing how his technical expertise translates into compassionate, human-centered engineering solutions.