Seyed Naser Hashemi

Papers

Total Citations

156

H-Index

About

Seyed Naser Hashemi is a leading researcher in robotics and autonomous navigation, with a primary focus on multi-objective path planning and trajectory optimization. His seminal work, "Multi-objective path planning in discrete space" (2012, 91 citations), introduced a pioneering framework for balancing competing objectives such as path length, safety, and energy efficiency in discrete environments, laying the groundwork for more intelligent robotic decision-making. Building on this, his paper "Clear and smooth path planning" (2015, 65 citations) advanced the field by integrating path clarity and smoothness constraints, enabling robots to navigate complex terrains with greater precision and human-like fluidity. Hashemi’s contributions are widely recognized for bridging theoretical optimization with practical deployment, influencing applications from warehouse automation to autonomous vehicles. With over 150 total citations, his work continues to shape modern path planning algorithms, making him a key figure in the evolution of intelligent navigation systems.