Navid Mohajer

About

Navid Mohajer is a prolific researcher whose work spans autonomous vehicles, mobile robotics, human-robot interaction, and wearable exoskeleton technology. His most influential contribution, a 2021 review on path tracking controllers for autonomous vehicles (175 citations), established him as a leading voice in AV control systems, rigorously evaluating the performance landscape of a field with profound safety and socioeconomic implications. Complementing this, his comprehensive reviews on autonomous navigation chart the state of the art in mobile robotics, collectively accumulating over 65 citations and serving as essential references for the research community. Mohajer's expertise extends meaningfully into human-robot interaction, where his work on exoskeleton and orthosis technology (41 citations) critically examines both physical and cognitive dimensions of wearable robotic systems. His research portfolio also encompasses human activity recognition using convolutional neural networks, vehicular motion simulation, and deep imitation learning for autonomous navigation. More recently, he has explored Industry 5.0 safety architectures integrating multi-agent systems for human-robot collaboration. Across these diverse yet interconnected domains, Mohajer consistently addresses real-world applicability and technological maturity, making his work particularly valuable for engineers, clinicians, and researchers seeking both theoretical grounding and practical insight.

Research Focus

Key Achievements

Top Papers

1. 1
   Review and performance evaluation of path tracking controllers of autonomous vehicles

   175 citations · 2021
2. 2
   A Comprehensive Review on Autonomous Navigation

   52 citations · 2025
3. 3
   Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human–Robot Interaction

   41 citations · 2023
4. 4
   Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks

   13 citations · 2022
5. 5
   A Comprehensive Review on Autonomous Navigation

   13 citations · 2022
6. 6
   A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms

   12 citations · 2023
7. 7
   Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface

   8 citations · 2021
8. 8
   Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study

   6 citations · 2020
9. 9
   A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA)

   4 citations · 2022

Key Collaborators

Contact & Links