Papers

3

Total Citations

33

H-Index

3

About

Guan-Zhi Huang is a rising researcher at the forefront of intelligent robotics and environmental sustainability, specializing in the integration of Artificial Intelligence of Things (AIoT), edge computing, and deep learning for autonomous systems. His work focuses on developing practical, AI-driven robotic solutions to address pressing environmental challenges, particularly in waste management and marine conservation. Huang’s most impactful contribution is the design of an AIoT-based autonomous mobile robot (AMR) system for garbage collection, which has garnered 26 citations since 2023. This system synergizes a robot operating system (ROS) with an AI-powered garbage recognition subsystem, showcasing a novel approach to smart waste management. He has also advanced marine biodiversity protection through a deep learning-based ROV surveillance system for monitoring illegal fishing, and pioneered an AI edge computing-based robotic AGV system that integrates solar power and IoT-enabled smart trash cans. While his citation counts are still growing, Huang’s work demonstrates significant potential for real-world impact, positioning him as an innovator in applying edge AI and robotics to create sustainable, autonomous solutions for environmental monitoring and urban cleanliness.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of an Artificial Intelligence of Things-Based Autonomous Mobile Robot System for Cleaning Garbage
26 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National Penghu University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago