Zhanyuan Chang
Papers
1
Total Citations
61
H-Index
1
About
Zhanyuan Chang is a leading researcher in robotics and autonomous navigation, with a primary focus on developing cost-effective, multi-sensor systems for service robots. His most impactful work, "Design of a Low-Cost Indoor Navigation System for Food Delivery Robot Based on Multi-Sensor Information Fusion" (2019, 61 citations), addresses critical labor shortages in the restaurant industry by proposing an affordable navigation solution that integrates data from multiple sensors. This contribution not only advances the practical deployment of meal delivery robots but also demonstrates how robotic technology can reduce operational costs while enhancing customer experience. Chang’s research bridges the gap between high-end autonomous systems and real-world, budget-constrained applications, making indoor navigation more accessible for commercial use. His work has been recognized for its direct impact on the service robotics sector, offering a scalable framework for future innovations in automated delivery. By combining sensor fusion with low-cost hardware, Chang has paved the way for wider adoption of robots in hospitality, showcasing how engineering solutions can address pressing societal and economic challenges.
Research Focus
Key Achievements
Top Papers
- 1