Papers
30
Total Citations
307
H-Index
10
About
Yasar Ayaz is a prominent robotics and human-robot interaction researcher whose work spans assistive technologies, humanoid robotics, and intelligent systems. He is perhaps best recognized for his pioneering contributions to robot-mediated autism spectrum disorder (ASD) therapy, most notably his adaptive multi-robot framework targeting joint attention and imitation deficits in ASD children — a paper that has garnered 70 citations and stands as his most influential work. His earlier research laid important groundwork in humanoid locomotion, developing human-like footstep planning algorithms that enabled robots to navigate obstacle-rich environments by stepping over barriers rather than merely circumventing them, earning over 40 citations across related publications. Ayaz has also made notable strides in quadruped robot design, collaborative robotic control using particle swarm optimization, and multimodal personality assessment systems grounded in the Big Five psychological model. His interdisciplinary reach extends further into fluid dynamics and aerial robotics, reflecting a remarkably broad research portfolio. Collectively, his work bridges mechanical innovation and socially intelligent robotics, with particular impact in assistive technologies that meaningfully improve therapeutic outcomes for children with developmental disorders.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-Like Approach to Footstep Planning Among Obstacles for Humanoid Robots21 citations · 2006
- 3HUMAN-LIKE APPROACH TO FOOTSTEP PLANNING AMONG OBSTACLES FOR HUMANOID ROBOTS20 citations · 2007
- 4
- 5Humanoid robot motion generation for nailing task15 citations · 2008
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- 9Attentional Behavior of Children With ASD in Response to Robotic Agents11 citations · 2021
- 10