Naeimeh Najafizadeh Sari
Papers
3
Total Citations
44
H-Index
3
About
Naeimeh Najafizadeh Sari is a leading researcher in autonomous robotics, specializing in robot motion planning, path planning algorithms, and swarm robotics. Her major contributions focus on enabling robots to navigate unknown and hazardous environments in real time. In her highly cited 2019 paper (36 citations), she introduced a novel approach to optimal path planning for humanoid robots that accounts for "danger space"—areas that are neither obstacles nor free space—allowing robots to cross them when no safe alternative exists. This work directly addresses the challenge of autonomous navigation in unpredictable, real-world settings. She also authored a comprehensive 2018 review of robot path planning algorithms (5 citations), which serves as a key resource for selecting robust, real-time algorithms suitable for diverse robotic platforms. Most recently, in 2024, she proposed a probabilistic connectivity-restoration method for robotic swarms, tackling the critical issue of maintaining communication links after unexpected failures. Her work bridges theory and practical experimentation, advancing the reliability and autonomy of both individual robots and large-scale swarms.
Research Focus
Key Achievements
Top Papers
- 1Robot Motion Planning in an Unknown Environment with Danger Space36 citations · 2019
- 2Robot Path Planning Algorithms: A Review of Theory and Experiment5 citations · 2018
- 3Restoring Connectivity in Robotic Swarms – A Probabilistic Approach3 citations · 2024