Papers

20

Total Citations

187

H-Index

8

About

Jianwen Huo is a robotics researcher whose work spans autonomous systems, nuclear safety, and intelligent motion control. He has established himself as a leading voice in robotic radioactive source detection, developing increasingly sophisticated algorithms that enable mobile robots to autonomously locate radioactive materials in complex indoor environments — a critical capability for protecting human workers from radiation exposure. His 2020 paper on autonomous radioactive source search has garnered 42 citations, while subsequent work on multi-robot collaborative search strategies demonstrates his commitment to scaling these solutions through swarm intelligence and particle filter methodologies. Beyond nuclear safety applications, Huo has made meaningful contributions to manipulator collision detection, publishing a widely cited 2018 study on residual estimation in human-robot interaction environments. His research portfolio extends further into spherical robot design and motion control, soft robot path planning, and quadruped robot fall recovery using reinforcement learning — reflecting a remarkably broad command of robotic systems. With over 150 cumulative citations across ten papers, his work bridges theoretical algorithm development and practical engineering implementation. Students interested in autonomous robotics, nuclear safety systems, or motion planning will find his research particularly valuable as a foundation for cutting-edge applied work.

Research Focus

Key Achievements

8
H-Index
20
Papers
187
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Search of Radioactive Sources through Mobile Robots
42 citations · 2020
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 85
🏛 Institutions: Southwest University of Science and Technology, Bauman Moscow State Technical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago