Papers

2

Total Citations

14

H-Index

2

About

Dr. Xiaojing Lv is a pioneering researcher in the intersection of artificial intelligence and robotics, with a primary focus on safe learning and control for autonomous systems. Her most impactful work, "AI based Robot Safe Learning and Control" (2020), has garnered 12 citations and lays foundational principles for ensuring that AI-driven robots operate reliably in dynamic, human-centric environments. Dr. Lv’s research addresses critical challenges in multi-robot coordination, as demonstrated in her 2023 paper "Kinematic Control of Multiple Manipulators Collaborative Handling System," which introduces a dynamic-neural-network-based kinematic controller to overcome the complexities of closed-chain structures and physical constraints in collaborative handling tasks. This work advances the practical deployment of multi-robot systems in manufacturing and logistics. While her citation counts reflect an emerging career, the technical depth and novelty of her contributions—particularly in integrating neural networks with kinematic control—signal her growing influence. Dr. Lv’s dedication to safe, scalable robotic intelligence positions her as a rising thought leader in the field, with future work poised to further bridge the gap between theoretical AI safety and real-world robotic applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
AI based Robot Safe Learning and Control
12 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shanghai Civil Aviation College, South China University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago