Sara Sheikh‐Oleslami
Papers
6
Total Citations
72
H-Index
4
About
Sara Sheikh-Oleslami is a researcher specializing in human-robot interaction (HRI), with a particular focus on nonverbal communication, robot gesture design, and collaborative motion planning. Her work addresses a fundamental challenge in modern manufacturing and collaborative robotics: enabling fast, reliable communication between human workers and robotic assistants in environments where verbal exchange is impractical. Her most influential contribution — "Cooperative Gestures for Industry" (2017, 47 citations) — systematically investigated how different robotic hand configurations can effectively convey instructional gestures, offering practical design guidance for industrial HRI systems. Building on this foundation, she explored directional gesture expression using three-fingered robotic grippers, demonstrating that purpose-built robotic hands can meaningfully approximate human communicative gestures. Her research further expanded into immersive virtual reality as a methodology for studying proxemic preferences in HRI, and into predictive modeling of human reaching trajectories to enable more fluid, anticipatory robot behavior during collaborative tasks. Collectively, her body of work bridges robotics engineering and human factors research, pushing toward robots that are not merely functional tools but genuinely responsive collaborative partners. With over 70 cumulative citations, Sheikh-Oleslami's contributions offer valuable frameworks for researchers and engineers designing the next generation of socially intelligent industrial robots.
Research Focus
Key Achievements
Top Papers
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- 5A Study of Reaching Motions for Collaborative Human-Robot Interaction4 citations · 2020
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