Jialong Gao

National University of Defense Technology

Papers

2

Total Citations

8

H-Index

2

About

Jialong Gao is a researcher focused on advancing heterogeneous robot system collaboration through innovative distributed simulation architectures. His most-cited work, "Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration" (2024), has garnered 4 citations and introduces a novel three-layer distributed simulation network architecture. This framework integrates a distributed virtual simulation network, a perception and control subnetwork, and a cooperative communication service network, all operating on a distributed platform to enable seamless collaboration among diverse robotic systems. Gao's major contribution lies in designing a scalable, modular simulation environment that addresses the challenges of coordinating heterogeneous robots in complex, real-world scenarios. His work has significant implications for fields such as autonomous systems, multi-robot coordination, and defense simulations, providing a foundation for more efficient and robust robot team operations. While early in his career, Gao's research demonstrates a clear impact on distributed simulation methodologies, offering a practical solution for testing and deploying heterogeneous robot systems. His achievements highlight a promising trajectory in robotics and simulation engineering, with potential applications in search-and-rescue, industrial automation, and collaborative autonomous missions.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago