Papers
5
Total Citations
30
H-Index
4
About
Muhammad Sajid is a robotics researcher whose work sits at the intersection of human-robot interaction, assistive technology, and engineering education. His research primarily focuses on enabling robots to perceive and display human-like social behaviors through body gestures, with a particular emphasis on applications for individuals with Autism Spectrum Disorder. In his most cited work, Sajid developed a multi-robot therapy system that uses Hidden Markov Models to categorize autism levels, contributing to more personalized robot-mediated interventions. He has also advanced the field of robotic manipulation by investigating stability in liquid-handling robots through zero moment point analysis and by developing novel non-contact TMR sensors for humanoid hand finger positioning. Beyond technical contributions, Sajid has made notable strides in engineering pedagogy by integrating transdisciplinary design into project-based learning, demonstrating how complex robot fabrication projects can be made sustainable in undergraduate curricula. With over 30 citations across his key publications, his work is gaining recognition for bridging the gap between robotic capability and real-world social and educational impact.
Research Focus
Key Achievements
Top Papers
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