Saihong Tang
Papers
1
Total Citations
7
H-Index
1
About
Saihong Tang is a researcher at the forefront of intelligent systems and optimization, with a primary focus on the Internet of Things (IoT) and robotics. Their most-cited work, "NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment" (2024, 7 citations), introduces a novel application of the NSGA-III multi-objective evolutionary algorithm to solve complex task allocation problems in IoT-enabled robotic systems. This contribution addresses critical challenges in coordinating multiple robots efficiently under dynamic constraints, offering a scalable framework that balances performance, energy, and time. Tang’s research bridges the gap between theoretical optimization and practical IoT deployment, demonstrating how advanced algorithms can enhance real-world automation. With a growing citation record, their work is gaining traction among scholars exploring swarm robotics and smart manufacturing. By integrating multi-objective optimization with IoT architectures, Tang provides a foundation for future studies on autonomous decision-making in distributed environments. Their research is particularly valuable for students and engineers seeking to understand how algorithmic innovations can drive the next generation of collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1