Ayman Altameem
Papers
2
Total Citations
39
H-Index
2
About
Dr. Ayman Altameem is a leading researcher at the intersection of autonomous robotics, artificial intelligence, and smart city infrastructure. His work focuses on developing intelligent navigation and human-robot interaction systems, with a particular emphasis on topological map building for autonomous robots operating in complex urban environments. His most-cited paper, "A framework for topological based map building: A solution to autonomous robot navigation in smart cities" (2019, 28 citations), provides a foundational approach for enabling robots to navigate efficiently in dynamic, real-world settings. Dr. Altameem has also pioneered the application of deep reinforcement learning in healthcare robotics, notably through his work "A deep reinforcement learning process based on robotic training to assist mental health patients" (2020, 11 citations), which explores how AI-driven robotic training can support therapeutic interventions. His contributions bridge the gap between theoretical AI models and practical, socially beneficial applications, making him a key figure in advancing robotic autonomy for smart cities and healthcare. With a growing citation impact, Dr. Altameem’s research continues to shape the future of intelligent, responsive robotic systems.
Research Focus
Key Achievements
Top Papers
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