Papers

1

Total Citations

6

H-Index

1

About

Shian Wang is an emerging researcher working at the intersection of autonomous vehicle control, human-robot interaction, and eco-driving optimization. Their work addresses a critical gap in autonomous driving research: rather than focusing solely on the performance of autonomous vehicles (AVs) in isolation or in coordinated swarms, Wang investigates how AVs can be designed to interact socially and cooperatively with human-driven vehicles (HVs) in mixed-traffic environments. This perspective represents a meaningful shift in AV controller synthesis, acknowledging that real-world deployment requires vehicles to coexist intelligently with human drivers rather than operate independently of them. Wang's most notable contribution, "Autonomous Vehicle Control Through Socially Compliant Human–Robot Interactions With an Application to Eco-Driving" (2024), has already attracted 6 citations since its publication, a strong early indicator of relevance in a competitive and rapidly evolving field. By integrating eco-driving principles with socially aware control strategies, Wang's research offers practical pathways toward more energy-efficient and human-compatible autonomous systems. Their work appeals to researchers in control theory, transportation engineering, and human-robot interaction alike, positioning Wang as a promising voice in the next generation of intelligent mobility research.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Vehicle Control Through Socially Compliant Human–Robot Interactions With an Application to Eco-Driving
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 0
🏛 Institutions: The University of Texas at El Paso

Top Papers

  1. 1

Contact & Links

Available for collaboration
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