Raheleh Morovati
Papers
1
Total Citations
2
H-Index
1
About
Raheleh Morovati is a researcher in robotics and artificial intelligence, with a primary focus on autonomous navigation and manipulation. Her work centers on developing efficient algorithms for complex robotic tasks, particularly in the domain of path planning and object interaction. Her most-cited paper, "A Sequential Bi-criteria Search Algorithm for Robot Path Planning in the Box Pushing Problem" (2016), introduces a novel approach that balances multiple optimization objectives—such as path length and computational cost—when a robot must physically move an obstacle. This contribution addresses a fundamental challenge in mobile robotics: enabling robots to reason about both motion and manipulation in cluttered environments. While her citation count is modest, the work represents a meaningful step in sequential decision-making for robotics, offering a practical algorithm that can be applied to tasks like warehouse automation or assistive robotics. Morovati’s research sits at the intersection of search-based planning and multi-objective optimization, providing a foundation for future work in autonomous systems that must operate safely and efficiently in dynamic, real-world settings.
Research Focus
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Top Papers
- 1