Papers
5
Total Citations
214
H-Index
4
About
Xiong Luo is a leading researcher at the intersection of robotics, intelligent control, and biomedical engineering, whose work spans from optimizing autonomous navigation to developing technology-assisted interventions for autism spectrum disorder (ASD). His most influential contribution, "Technology-Facilitated Diagnosis and Treatment of Individuals with Autism Spectrum Disorder: An Engineering Perspective" (81 citations), offers a comprehensive engineering framework for leveraging computer and robotic technologies to enable earlier, more accurate ASD diagnoses and cost-effective treatments. In robotics, Luo has made foundational advances in path planning and trajectory optimization: his "Optimal path planning for mobile robots based on intensified ant colony optimization algorithm" (75 citations) addresses complex constraint conditions in autonomous navigation, while his work on memristive neural network synchronization (48 citations) advances control theory for dynamic systems with leakage delays. His earlier research on intensified evolutionary programming for robot manipulator trajectory planning laid groundwork for minimizing both travel time and mechanical energy consumption. With over 200 total citations, Luo’s interdisciplinary approach—bridging control engineering, neural networks, and clinical applications—demonstrates a rare ability to translate theoretical algorithms into practical solutions for healthcare and automation.
Research Focus
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