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About

Zolfa Anvari is a robotics researcher whose work focuses on the analysis and optimization of parallel robots, particularly in the areas of workspace determination and kinetostatic performance. Her key contributions center on developing geometrical and analytical methods to compute collision-free workspaces for various parallel manipulator architectures, including the Tripteron and Delta robots. Anvari’s research addresses critical challenges in robot design and control by investigating kinetostatic indices such as manipulability, dexterity, and kinematic sensitivity—metrics essential for evaluating and improving robot performance. Her most cited paper, “The Collision-Free Workspace of the Tripteron Parallel Robot Based on a Geometrical Approach” (2017), has garnered 12 citations, while her subsequent work on 4-DOF and 3-DOF Delta parallel robots has accumulated 10 and 6 citations respectively. Through these studies, Anvari has provided practical frameworks for ensuring safe and efficient robot operation in constrained environments, making her work valuable for researchers and engineers in robotics, automation, and manufacturing. Her systematic approach to workspace and performance analysis continues to inform the design of more capable and reliable parallel robotic systems.