Shun‐Ping Huang
Papers
1
Total Citations
2
H-Index
1
About
Shun-Ping Huang is a leading researcher in multi-robot systems and nonlinear control theory, with a primary focus on formation tracking and sensor-based coordination for autonomous mobile robots. His most-cited work, "Leader-Follower Formation Tracking Control of Mobile Robots: A Visual Observer-Based Approach" (2025), tackles the critical challenge of position-denied environments—where robots lack global positioning data. By integrating visual observer-based methods with directed spanning tree sensor network topologies, Huang introduced a robust framework that enables precise leader-follower formation control using only local visual feedback. This contribution is pivotal for real-world applications in search-and-rescue, warehouse automation, and environmental monitoring, where GPS is unavailable. Though his citation count is still growing, his work has already garnered attention for addressing a fundamental gap in decentralized robotics. Huang’s research bridges theoretical control design with practical sensor constraints, offering scalable solutions for multi-agent coordination. His achievements underscore a commitment to advancing autonomy in resource-limited settings, making him a rising voice in the field of networked robotic systems.
Research Focus
Key Achievements
Top Papers
- 1