Guoku Jia

Shenzhen University, Sun Yat-sen University

Papers

3

Total Citations

22

H-Index

2

About

Guoku Jia is a robotics researcher whose work spans two critical frontiers: autonomous aerial systems and precision medical robotics. In the domain of UAV-assisted IoT networks, Jia developed efficient trajectory planning algorithms that simultaneously optimize energy consumption and completion time—a fundamental challenge given the severe battery constraints of quadrotor platforms. This work, published in 2023 with 11 citations, addresses the core tension between operational endurance and mission efficiency in future wireless networks. Jia's parallel contributions to medical robotics are equally impactful. His 2024 paper on an eye-gaze-controlled needle deployment robot (9 citations) introduces a novel hands-free control paradigm for MRI-guided interventions, overcoming the bulkiness and incompatibility of traditional Leksell-based systems. This is complemented by his design of a compact 4-degree-of-freedom robot for assisted needle puncture deployment, which tackles the persistent challenge of creating surgical robots that are both small enough for clinical use and simple to operate. Across these projects, Jia demonstrates a consistent focus on solving real-world constraints—whether battery life in UAVs or workspace limitations in interventional radiology—making his work immediately relevant to practitioners in both fields.

Research Focus

Key Achievements

2
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Trajectory Planning for Optimizing Energy Consumption and Completion Time in UAV-Assisted IoT Networks
11 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Shenzhen University, Sun Yat-sen University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago