Chao Dou

University of Toledo

Papers

3

Total Citations

88

H-Index

3

About

Chao Dou is a leading researcher in mobile robotics and artificial intelligence, with a primary focus on enabling robots to navigate complex, dynamic environments with human-like agility. His major contributions lie at the intersection of AI-driven mobility estimation and multi-robot coordination. Dou’s most influential work, *"State-of-the-Art Mobile Intelligence"* (2018, 53 citations), provides a comprehensive framework for using artificial intelligence to overcome fundamental robotic locomotion challenges in domains ranging from autonomous vehicles to home service robots. He is also recognized for pioneering real-time, concurrent path planning in automated robotic parking systems (2014, 32 citations), addressing the critical problem of multi-robot coordination in constrained, dynamic spaces. His doctoral thesis (2012) further developed a complete suite of informed search algorithms for storage and retrieval in fully-automated parking lots and warehouses. Through these contributions, Dou has advanced the practical deployment of intelligent robotic systems, bridging the gap between theoretical AI and real-world autonomous operation. His work continues to influence the design of safer, more efficient robots capable of moving seamlessly through human environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
88
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence
53 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Toledo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago