Max Robotics — Global Service Robot Directory + US Certification

About

Maida Cohodar’s research lies at the intersection of robotics, dynamic modeling, and simulation, with a particular focus on parallel and flexible robotic manipulators. Her work is distinguished by a systematic, multidisciplinary approach that leverages advanced tools such as bond graph modeling, Simulink/Simscape, and 3D CAD integration to analyze and predict robot behavior. A key contribution is her development of dynamic models for robots with closed kinematic structures—including hobby robots like the uArm and industrial parallel robots like the ABB IRB 360—enabling precise inverse dynamic analysis and path planning in virtual environments. Her 2006 paper on bond graph-based modeling of flexible manipulators (8 citations) laid foundational groundwork for lightweight robotic design, while her 2016 study on the uArm (10 citations) demonstrated practical application of SimMechanics for hobbyist and educational robotics. Cohodar’s impact is evident in her consistent focus on bridging virtual modeling with real-world performance, as seen in her work on mobile robots and delta parallel robots. Her research is particularly valuable for students and engineers seeking to understand how CAD-driven dynamic simulation can streamline the design and control of complex robotic systems.