Vida Shams
Papers
2
Total Citations
9
H-Index
2
About
Vida Shams is a researcher focused on advancing collaborative robotics, with a particular emphasis on humanoid robot interaction and detection. Her work addresses the critical challenge of enabling effective inter-robot communication and coordination, especially in scenarios where humanoid robots assist with tasks like elder care. Shams’s most cited study, “Inter-humanoid robot interaction with emphasis on detection: a comparison study” (2017, 5 citations), systematically evaluates detection methods to improve how humanoid robots perceive and respond to one another. A subsequent addendum (2017, 4 citations) further refines these findings, underscoring her commitment to rigorous, iterative research. Though her citation counts are modest, Shams’s contributions are notable for tackling a niche yet vital aspect of robotics—humanoid detection—which is foundational for deploying robots in real-world, human-centric environments. Her work highlights the importance of reliable perception in multi-robot systems, offering practical insights for researchers developing collaborative autonomous agents.
Research Focus
Key Achievements
Top Papers
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