Papers
3
Total Citations
99
H-Index
3
About
Xinda Wang is a researcher whose work bridges robotics and nondestructive evaluation, with a focus on improving the efficiency and reliability of automated systems. His most impactful contribution is in motion planning, where he developed an improved Rapidly-exploring Random Tree (RRT) algorithm for collision-free path planning in robots, a paper that has garnered 73 citations and is widely recognized for advancing sampling-based methods in high-dimensional spaces. Wang also made significant strides in solving the inverse kinematics problem for robot manipulators, proposing the Newton-improved cyclic coordinate descent (NICCD) method, which offers a versatile solution for robots with arbitrary degrees of freedom. Beyond robotics, his work extends to materials inspection, where he applied pulsed eddy current techniques for nondestructive testing of brazing defects in stainless steel core panels—a critical innovation for modular construction quality control. With a total of nearly 100 citations across his key works, Wang demonstrates a rare ability to tackle both algorithmic challenges in robot control and practical engineering problems in structural health monitoring, making his research valuable for students and practitioners in robotics, manufacturing, and materials science.
Research Focus
Key Achievements
Top Papers
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