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
Top Papers
- 1AI based Robot Safe Learning and Control12 citations · 2020
- 2Kinematic Control of Multiple Manipulators Collaborative Handling System2 citations · 2023