Reza Langari
Papers
28
Total Citations
730
H-Index
11
About
Reza Langari is a distinguished researcher whose work spans intelligent control systems, autonomous vehicles, human-robot interaction, and rehabilitation robotics. His interdisciplinary contributions have shaped multiple fields, earning him significant recognition within the engineering research community. Langari's most influential work, "A Human-Like Game Theory-Based Controller for Automatic Lane Changing" (2018), has accumulated an impressive 312 citations, reflecting its substantial impact on autonomous vehicle research. His foundational contributions to fuzzy logic control, particularly his defuzzification strategy for handling conflicting control commands, demonstrate his early and lasting influence on intelligent systems design, garnering 85 citations since 2003. In rehabilitation engineering, Langari has made notable strides through the development of the CLEVER ARM exoskeleton, a compact and ergonomic upper-limb rehabilitation device for stroke patients, cited 80 times. His broader exoskeleton research extends to kinematic optimization and autonomous ergonomic motion planning, highlighting a sustained commitment to advancing assistive technologies. Beyond these areas, Langari has contributed meaningfully to EMG-based human-computer interaction using deep learning architectures, adaptive nonlinear vehicle steering control, and mobile robot navigation. Collectively, his diverse yet cohesive body of work exemplifies a researcher dedicated to bridging intelligent systems theory with real-world human-centered applications.
Research Focus
Key Achievements
Top Papers
- 1A human-like game theory-based controller for automatic lane changing312 citations · 2018
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- 9Line map construction using a mobile robot with a sonar sensor13 citations · 2006
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