Papers
2
Total Citations
31
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2
About
Sharareh Bayat is a robotics researcher whose work focuses on the optimal control and trajectory planning of cable-suspended parallel manipulators. Her primary research areas include dynamic load-carrying capacity, optimal trajectory design, and the application of optimal control theory to cable-based robotic systems. Bayat’s major contributions lie in developing analytical frameworks to determine the maximum payload a cable robot can transport along a given path. Her 2011 paper, "Analytical design of optimal trajectory with dynamic load-carrying capacity for cable-suspended manipulator," which has garnered 22 citations, provides a rigorous method for designing trajectories that maximize payload while maintaining system stability. In her earlier 2009 work, "Optimal trajectory planning with maximum load carrying capacity for cable suspended robots" (9 citations), she introduced the use of Pontryagin’s minimum principle (PMP) to derive optimality conditions, revealing that the optimal control strategy follows a bang-bang profile. This work is notable for bridging control theory and practical robotic design, offering engineers a systematic approach to enhance the efficiency and payload of cable-driven robots. Bayat’s research is particularly valuable for applications in construction, manufacturing, and material handling where maximizing load capacity is critical.
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