Mohammad Nazeri
Papers
8
Total Citations
88
H-Index
4
About
Mohammad Nazeri is pioneering the next generation of autonomous mobile robots that can navigate the complex, unstructured environments where humans and nature coexist. His research focuses on two critical frontiers: **socially-aware navigation** in human-populated spaces and **high-speed off-road mobility** on vertically challenging terrain. Nazeri’s major contributions include the creation of large-scale, multi-modal datasets—such as the Social Human Navigation dataset (28 citations) and platforms for wheeled mobility on rugged terrain (24 citations)—that enable robots to understand unwritten social norms and traverse extreme environments like boulder fields. He has developed novel algorithms like **CAHSOR** (15 citations) for competence-aware, high-speed off-road navigation in 6-DoF space and **Terrain-Attentive Learning** (11 citations) for efficient kinodynamic modeling. His work on **Social-LLaVA** (3 citations) integrates human-language reasoning to enhance social robot navigation, while **VANP** (2 citations) introduces self-supervised vision-action pre-training for efficient visual attention. Nazeri’s impact is evident in his rapidly growing citation counts and his ability to bridge perception, planning, and control for robots operating in the real world, from crowded sidewalks to extreme off-road terrains.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8