Hengjing He

Tsinghua University

Papers

2

Total Citations

45

H-Index

2

About

Hengjing He is a researcher at the forefront of cloud robotics, focusing on offloading computationally intensive tasks from mobile robots to remote cloud platforms to enhance autonomy and efficiency. His key contributions lie in real-time multi-robot collision avoidance and distributed SLAM (Simultaneous Localization and Mapping). In his most-cited work, "Cloud based Real-time Multi-robot Collision Avoidance for Swarm Robotics" (25 citations), He demonstrated how cloud computing can enable scalable, coordinated navigation for robot swarms by shifting computation from individual units to a centralized cloud. His follow-up paper, "Cloud-based Parallel Implementation of SLAM for Mobile Robots" (20 citations), tackled the critical challenge of reducing onboard computational load for mapping and localization, proposing a cloud-parallelized SLAM framework that frees robots from heavy hardware constraints. Together, these works highlight He’s impact on making swarm and mobile robotics more lightweight, power-efficient, and scalable. His research is particularly relevant for students and engineers exploring the intersection of cloud computing, IoT, and autonomous systems, offering practical pathways to overcome the physical limitations of onboard processing in real-world robotic applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
45
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Cloud based Real-time Multi-robot Collision Avoidance for Swarm Robotics
25 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tsinghua University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago