Yakov Frayman
Papers
2
Total Citations
42
H-Index
2
About
Yakov Frayman is a researcher specializing in robotics and fault-tolerant control systems, with a focus on enhancing the reliability and adaptability of manipulators under joint failures. His key research areas include redundant manipulator kinematics, actuator fault tolerance, and self-reconfiguration strategies for robotic systems. Frayman's major contributions center on developing optimal mapping techniques that allow robotic manipulators to continue end-effector motion with minimal velocity disruption when joints fail. His most-cited work, "Optimal mapping of joint faults into healthy joint velocity space for fault-tolerant redundant manipulators" (2011, 38 citations), introduces a pioneering approach to maintaining operational continuity by reconfiguring healthy joints to compensate for failures. This work has significant implications for industries relying on high-precision robotics, such as manufacturing and space exploration. Frayman also explored multiple actuator fault tolerance in static nonlinear systems, proposing methods to minimize velocity jumps during cascading failures. His research bridges theoretical control theory and practical robotic applications, offering robust solutions for mission-critical environments. Frayman's achievements underscore his role in advancing fault-tolerant robotics, making his work essential reading for engineers and researchers designing resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
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