Mohamed Saad
Papers
2
Total Citations
33
H-Index
2
About
Mohamed Saad’s research lies at the intersection of robotics, path planning, and energy-efficient autonomous navigation. His major contributions address the fundamental trade-off between path quality and computational speed in real-time robotic systems, as well as the challenge of minimizing energy consumption for autonomous unmanned vehicles operating in uneven outdoor terrains. In his highly cited 2021 work, Saad introduced a routing protocol approach to robotic path planning that simultaneously improves both swiftness and path quality—a breakthrough that has garnered 20 citations and offers practical solutions for time-critical applications. His 2019 study, with 13 citations, developed a composite routing metric that integrates terrain angle, gravity, and wheel-terrain friction to achieve energy-efficient shortest path planning for AUVs on natural terrain. By bridging concepts from network routing protocols with robotic navigation, Saad has opened new avenues for real-time, energy-aware autonomy. His work is particularly notable for its direct applicability to field robotics, including search-and-rescue and environmental monitoring, where both speed and battery life are critical. Saad continues to shape the future of intelligent, resource-conscious robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2