About

Muhammad Attamimi is a versatile robotics and intelligent systems researcher whose work spans human-robot interaction, computer vision, and smart technology applications. He is perhaps best known for his pioneering investigations into child-robot relationships, exploring how robots can build meaningful bonds with children — particularly shy or introverted individuals — through personality-aware play strategies and physical touch such as hand-holding. These studies, accumulating over 50 citations combined, have meaningfully advanced our understanding of social robotics in educational and therapeutic contexts. Attamimi has also made significant contributions to robot perception, developing a real-time 3D visual sensor system that integrates depth and color data for robust object recognition (30 citations), and designing visual recognition frameworks enabling humanoid robots to perform practical cleaning tasks. His work on multimodal learning allows robots to acquire knowledge of novel objects through combined audio-visual input — a critical capability for home assistant robots. Beyond robotics, Attamimi has demonstrated broad engineering impact through practical innovations including an Android-based smart trolley system (28 citations) and a LIDAR-equipped mobile robot for gas leak inspection. His research consistently bridges theoretical intelligence with real-world deployment, making him a notable contributor across robotics, human-computer interaction, and applied sensing systems.

Research Focus

Key Achievements

7
H-Index
18
Papers
193
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Toward playmate robots that can play with children considering personality
33 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 50
🏛 Institutions: University of Electro-Communications, Sepuluh Nopember Institute of Technology, Tamagawa University, Uganda Episcopal Conference

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago