G. Ayorkor Mills-Tettey

Carnegie Mellon University

Papers

6

Total Citations

80

H-Index

6

About

G. Ayorkor Mills-Tettey is a pioneering researcher at the intersection of robotics, artificial intelligence, and sustainable development. Her work is defined by two major thrusts: advancing the algorithmic foundations of robot path planning and leveraging robotics education to empower technologically underserved communities. In the former, she introduced DD* Lite, an efficient incremental search algorithm that exploits state dominance to prune graphs and dramatically speed up computation for complex planning problems. Her research on continuous-field path planning also addresses critical challenges for autonomous planetary exploration, such as optimizing smooth trajectories while managing constrained state variables like energy. Equally impactful is her visionary work on education. Mills-Tettey has been a leading voice in demonstrating how well-designed robotics curricula can foster technical creativity and drive sustainable development in regions like Ghana and Qatar. Her influential papers, including "Robotics, Education, and Sustainable Development" and "Teaching Technical Creativity Through Robotics," have garnered significant attention, with multiple works accumulating over 20 citations each. Through this dual focus on algorithmic innovation and inclusive education, Mills-Tettey has established herself as a key figure in making robotics both more capable and more globally accessible.

Research Focus

Key Achievements

6
H-Index
6
Papers
80
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
DD* Lite: Efficient Incremental Search with State Dominance
23 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago