Mostafa Mahmoodi
Papers
3
Total Citations
20
H-Index
2
About
Mostafa Mahmoodi’s research centers on robotics, with a particular focus on the kinematics, design, and motion planning of autonomous systems operating in complex, dynamic environments. His major contributions include a novel kinematics-based design approach for 3-RRR Delta parallel robots, which addresses the critical challenge of determining kinematic parameters to achieve a specified workspace—a foundational problem in parallel robotics. In the realm of safe navigation, Mahmoodi developed the Generalized Velocity Obstacles method for real-time, robust motion planning of omnidirectional robots in crowded settings, demonstrated on the MRL-SSL RoboCup platform. He further advanced this work with KidVO, a kinodynamically consistent algorithm that integrates kinematic and dynamic constraints for online motion planning, enhancing the reliability of autonomous navigation. While his citation counts (16 for his Delta robot paper, 2 each for the navigation works) reflect a developing impact, his contributions are notable for their practical relevance to RoboCup and industrial robotics, offering systematic solutions to workspace design and collision avoidance that are valuable for students and researchers in robotic manipulation and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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