Mojtaba Karimi
Technical University of Munich, Amirkabir University of Technology
Papers
11
Total Citations
126
H-Index
7
About
Mojtaba Karimi is a roboticist whose research spans the critical challenges of autonomous navigation, manipulation, and human-robot interaction. His most influential work, "R-LOAM" (57 citations), advances LiDAR-based odometry and mapping by integrating known 3D reference objects to dramatically improve localization accuracy in GPS-denied environments—a key enabler for indoor autonomous robots. In manipulation, Karimi tackles the notoriously difficult task of robotic pouring with "PourNet" (12 citations), employing curriculum and curiosity-driven reinforcement learning to handle complex fluid dynamics without explicit models. His work on human-robot interaction includes a novel skeleton and visual tracking fusion method (12 citations) for human-following service robots, validated on his team's "Sepanta" platform. Karimi also contributes to medical robotics with a magnetically anchored stereoscopic camera for minimally invasive surgery, and to robust state estimation through innovative fusion of skewed-redundant magnetic and inertial sensors for indoor heading. His development of the "ReMoRo" mobile robot platform (5 citations) demonstrates a commitment to creating practical, modular hardware for both research and education. With over 120 total citations across these diverse contributions, Karimi's work consistently bridges theoretical advances with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4MAVI: A Research Platform for Telepresence and Teleoperation8 citations · 2018
- 5Learning-Based Modular Task-Oriented Grasp Stability Assessment7 citations · 2018
- 6
- 7
- 8
- 9
- 10