Papers

2

Total Citations

17

H-Index

2

About

Kaiqiang Zhang is a leading researcher in the field of nuclear robotics, specializing in the development of safe and efficient long-reach manipulation systems for extreme environments. His work directly addresses the critical challenge of nuclear decommissioning, with a particular focus on the high-stakes fuel debris retrieval operations at Fukushima Daiichi. Zhang’s major contributions include pioneering dynamics-based trajectory planning to suppress vibration in flexible, long-reach robotic manipulators—a key barrier to precision in confined, hazardous spaces. His 2024 paper on this topic, with 4 citations, introduces a novel optimization approach that minimizes residual oscillations, enhancing both safety and operational accuracy. His most impactful work, "Towards safe, efficient long-reach manipulation in nuclear decommissioning" (13 citations), provides a comprehensive case study on the potential of robotics to replace human workforce in dangerous decommissioning tasks, addressing the global energy crisis by enabling safer nuclear waste management. Zhang’s research is foundational for the next generation of autonomous systems in nuclear environments, bridging the gap between theoretical dynamics and practical deployment in one of the world’s most challenging engineering contexts.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Towards safe, efficient long-reach manipulation in nuclear decommissioning: A case study on fuel debris retrieval at Fukushima Daiichi
13 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Culham Science Centre, United Kingdom Atomic Energy Authority

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago