Papers
1
Total Citations
4
H-Index
1
About
Xitong Gao is a researcher whose work lies at the intersection of robotics, cloud computing, and intelligent systems, with a particular focus on enabling autonomous navigation in complex, dynamic environments. His most-cited paper, "Cloud-based Robot Path Planning in Dynamic Environments" (2021, 4 citations), addresses a critical gap in traditional path planning—namely, the failure to account for multiple agents and moving obstacles in crowded settings. By leveraging cloud-based computation, Gao proposes a scalable solution that allows robots to safely navigate through unpredictable spaces like busy playgrounds or warehouses, where static planning falls short. This contribution is especially relevant for safety-critical applications, where real-time adaptability can prevent collisions and improve efficiency. While his citation count is still growing, Gao’s work signals a promising direction in multi-agent coordination and cloud-integrated robotics. His research is particularly valuable for students and engineers interested in the practical challenges of deploying autonomous systems in real-world, human-filled environments.
Research Focus
Key Achievements
Top Papers
- 1Cloud-based Robot Path Planning in Dynamic Environments4 citations · 2021