About

Mohammad Shidujaman is a multidisciplinary researcher whose work sits at the compelling intersection of human-robot interaction (HRI), social robotics, artificial intelligence, and interactive art. His research spans cross-cultural robot design, autonomous systems, and the commercialization of academic robotics innovations, making him a uniquely versatile voice in the field. Among his most influential contributions is his cross-cultural work on social robot greeting behaviors, exploring how cultural identity shapes trust and interaction design — research that has garnered nearly 20 citations and directly informs how robots can be deployed across diverse global contexts. His development of *RoboQuin*, a humanoid mannequin robot capable of naturalistic movements, demonstrates his hands-on approach to bridging engineering and human-centered design. His 2019 paper on "HRIpreneur Thinking" offers rare strategic guidance on translating academic robotics research into commercial innovation. Shidujaman has also advanced wireless charging robotics, quadruped kinematics, and AI-driven interactive art, reflecting a remarkably broad technical range. With over 130 cumulative citations across his most-cited works, his research continues to shape how robots are designed, trusted, and integrated into everyday human environments worldwide.

Research Focus

Key Achievements

9
H-Index
19
Papers
166
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A Methodological Approach to Create Interactive Art in Artificial Intelligence
21 citations · 2020
📈 Most Prolific Year: 2024 (5 Papers)
🤝 Key Collaborators: 72
🏛 Institutions: China Academy of Art, Tsinghua University, Independent University, National Taipei University, American International University-Bangladesh, University of Jyväskylä

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
    Smart Floor Cleaning Robot
    13 citations · 2023
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago