Papers

10

Total Citations

195

H-Index

7

About

Chala Merga Abdissa is an emerging robotics and control systems researcher whose work centers on advanced nonlinear control strategies for mobile robots, robotic manipulators, and autonomous systems. His research is distinguished by the development of intelligent hybrid controllers — blending fuzzy logic, sliding mode control, backstepping techniques, and neural networks — to address the inherent challenges of nonlinear, uncertain, and nonholonomic robotic systems. His most-cited contribution, a backstepping fuzzy sliding mode controller for three-wheeled mobile robots (56 citations), exemplifies his focus on delivering robust trajectory tracking under real-world constraints. Complementing this, his adaptive fuzzy super-twisting sliding mode controller for 2-DOF manipulators (39 citations) and his optimized controller for mobile manipulators (31 citations) demonstrate a consistent ability to push the boundaries of precision motion control. Beyond manipulation, Abdissa has made notable contributions to autonomous navigation through his BRRT*-DWA path planning algorithm and, more recently, to rehabilitation robotics via fuzzy sliding mode control for lower limb exoskeletons. His expanding portfolio — now encompassing space robotics and model reference adaptive control — alongside a growing citation record exceeding 190 cumulative citations, firmly establishes him as a productive and versatile voice in intelligent robotics control research.

Research Focus

Key Achievements

7
H-Index
10
Papers
195
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing trajectory tracking accuracy in three-wheeled mobile robots using backstepping fuzzy sliding mode control
56 citations · 2024
📈 Most Prolific Year: 2025 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Addis Ababa University, Addis Ababa Science and Technology University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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