Lebsework Negash
Addis Ababa University, Addis Ababa Science and Technology University
Papers
4
Total Citations
65
H-Index
3
About
Lebsework Negash is a robotics and control systems researcher whose work centers on autonomous mobile robot navigation, intelligent path planning, and advanced control strategies. His most significant contribution is the development of the Bidirectional Rapidly-Exploring Random Tree Star–Dynamic Window Approach (BRRT\*-DWA) integrated with Adaptive Monte Carlo Localization (AMCL), a hybrid algorithm designed to solve optimal path planning in unknown, dynamic environments — a challenge that has long limited the practical deployment of service robots. This work has garnered remarkable attention, accumulating 39 citations since its 2024 publication, reflecting its immediate relevance to the robotics community. Negash has also made notable strides in intelligent control design, proposing an Adaptive Fuzzy Sliding Mode Controller combined with a Neuro-Fuzzy system for precise trajectory tracking of differential-drive wheeled mobile robots — work that has earned 16 citations. His research consistently bridges theoretical rigor with real-world applicability, addressing non-holonomic constraints, dynamic obstacle avoidance, and robot localization. With a growing citation profile and a clear focus on solving foundational challenges in autonomous robotics, Negash represents an emerging voice shaping the future of intelligent mobile systems.
Research Focus
Key Achievements
Top Papers
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