Babak Karasfi
Papers
7
Total Citations
151
H-Index
7
About
Babak Karasfi is a leading researcher in autonomous mobile robotics, with a primary focus on navigation, collision avoidance, and control architectures for robots operating in unknown and dynamic environments. His work addresses one of the most fundamental challenges in robotics: enabling machines to move safely and efficiently without human intervention. Karasfi’s major contributions include the development of the Nearest Virtual-Target (NVT) approach, a novel behavior-based collision avoidance strategy, and a hybrid control architecture that combines deliberative and reactive methods for robust navigation. His research integrates fuzzy logic, virtual force fields, and boundary-following techniques to create real-time motion planning algorithms. With over 150 citations across his most-cited papers, his work has significantly influenced the field of autonomous navigation. Notably, his 2013 paper on automatic navigation has garnered 40 citations, while his 2012 work on fuzzy logic applications has been cited 35 times. Karasfi’s innovative approaches, such as the actual-virtual target switching strategy and the use of speedup robust features for place recognition, demonstrate his commitment to advancing robot autonomy in complex, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Automatic navigation of mobile robots in unknown environments40 citations · 2013
- 2Application of Fuzzy Logic in Mobile Robot Navigation35 citations · 2012
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