Naiming Qi

Harbin Institute of Technology

Papers

5

Total Citations

64

H-Index

4

About

Naiming Qi is a leading figure in intelligent robotics, with a focus on enabling autonomous operation in extreme and unstructured environments. His research masterfully bridges deep reinforcement learning, neural network control, and novel actuator design to solve fundamental challenges in space and deep-sea robotics. Qi’s most influential work addresses the complex control of free-floating space robots (FFSR), where he pioneered model-free controllers using deep reinforcement learning, allowing these systems to capture targets without requiring complex dynamic equations. This work, with 18 citations, has been foundational for autonomous on-orbit servicing. He further advanced the field with neural integrated control for FFSRs facing suddenly changing parameters. Demonstrating remarkable versatility, Qi also leads innovation in underwater robotics, developing a miniature 7 cm-scale spherical robot with a piezoelectric double-jet actuator capable of agile movement in high-pressure deep-sea environments. His recent work on reinforcement learning for safe robot control, integrating control Lyapunov barrier functions, addresses the critical need for safety guarantees in physical robotic systems. With a career spanning adaptive neural-network PD control to cutting-edge RL safety frameworks, Qi’s contributions are shaping the future of autonomous robots in the most challenging frontiers.

Research Focus

Key Achievements

4
H-Index
5
Papers
64
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Learning to Control a Free-floating Space Robot using Deep Reinforcement Learning
18 citations · 2019
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago