Tao Long

Hunan International Economics University

Papers

Total Citations

H-Index

About

Tao Long is a researcher in embedded systems and robotics, with a focus on intelligent control and automation. His work centers on the design and optimization of service robots, particularly addressing key technical challenges in obstacle avoidance and sensor-driven execution. Long’s most cited paper, “Design of Sweeping Robot Based on STM32 Single Chip Microcomputer” (2023), has garnered 6 citations, reflecting its practical relevance in advancing low-cost, high-efficiency robotic platforms. This study demonstrates his ability to integrate microcontroller-based solutions for real-world applications, contributing to the growing field of domestic robotics. While his citation count is modest, his research holds promise for improving the precision and responsiveness of autonomous cleaning systems. Long’s contributions are particularly valuable for students and engineers exploring embedded control architectures and the intersection of hardware and software in robotics.