Haitao Wu

Beijing Institute of Technology

Papers

4

Total Citations

208

H-Index

4

About

Haitao Wu is a versatile researcher whose work spans two distinct but forward-looking domains: the intersection of robotics, labor economics, and environmental sustainability, and advanced energy storage materials for next-generation robotic systems. His most influential contributions examine how industrial automation reshapes carbon emissions in China, with his 2023 paper on energy rebound effects and labor factor flows accumulating an impressive 155 citations — signaling its rapid adoption as a foundational reference in the field. Wu's research consistently challenges simplistic narratives around automation, revealing nuanced dynamics such as how aging populations accelerate "machine replacing human" transitions with measurable environmental consequences. His investigation into whether air pollution drives firms toward robot adoption further demonstrates his innovative approach to causal analysis in industrial economics. Beyond macroeconomic inquiry, Wu has also contributed to the materials science underpinning robotic technology, with research on hollow carbon sphere cathodes designed to enhance energy density in pressure-tolerant batteries for underwater robotics applications. Together, his body of work positions him as a uniquely interdisciplinary scholar, bridging environmental policy, automation economics, and the physical engineering challenges that will define the next generation of intelligent machines.

Research Focus

Key Achievements

4
H-Index
4
Papers
208
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China
155 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago