Amanuel Abrdo Tereda

North Carolina Agricultural and Technical State University

Papers

4

Total Citations

16

H-Index

3

About

Amanuel Abrdo Tereda is a robotics and autonomous systems researcher whose work focuses on advanced control systems, autonomous navigation, and robotic manipulation. His research addresses a critical challenge in modern robotics: enabling machines to operate reliably and efficiently in environments that are dangerous or inaccessible to humans, including nuclear facilities and chemical plants. Tereda's most notable contributions include developing an improved Model Predictive Control (MPC) system for unmanned ground vehicles, which has garnered 6 citations since its 2022 publication, and applying nonlinear MPC to the KINOVA Gen3 robotic manipulator to enhance pick-and-place automation. His 2024 work on GPS-free autonomous navigation integrates Vector Field Histogram (VFH) algorithms with ROS-based SLAM, offering a practical solution for mobile robots operating in GPS-denied environments. He has also contributed a comprehensive review of uncrewed ground vehicles and nature-inspired robots such as DIGIT and SPOT, situating his research within the broader landscape of autonomous systems development. With a growing body of work accumulating over 16 citations across four publications, Tereda is establishing himself as an emerging voice in autonomous robotics, path planning, and intelligent control — areas of increasing relevance across manufacturing, defense, and hazardous-environment operations.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Improved Model Predictive Control System Design and Implementation for Unmanned Ground Vehicles
6 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: North Carolina Agricultural and Technical State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago