Arbnor Pajaziti
Papers
11
Total Citations
65
H-Index
4
About
Arbnor Pajaziti is a robotics researcher focused on autonomous navigation, control systems, and human-robot interaction. His work centers on developing intelligent algorithms for mobile robots, including SLAM-based mapping and navigation using ROS, self-balancing robot control, and path planning for quadruped and humanoid platforms. Pajaziti’s most cited paper (28 citations) presents a ROS-controlled Turtlebot system for indoor mapping and navigation using the GMapping algorithm, demonstrating practical applications of open-source tools. He has also explored neural network-based control for robotic arms, optimized via genetic algorithms, and applied convolutional neural networks for quadruped robot path control. His recent work addresses energy-efficient robot design and advanced SLAM techniques integrating A*, Dijkstra, and artificial potential field algorithms. With over 60 total citations across his publications, Pajaziti’s contributions bridge simulation and real-world implementation, advancing autonomous robotics in navigation, stability, and efficiency. His research is particularly relevant for students and engineers developing intelligent, self-navigating robotic systems.
Research Focus
Key Achievements
Top Papers
- 1SLAM � Map Building and Navigation via ROS28 citations · 2014
- 2Navigation of Self-Balancing Mobile Robot through Sensors9 citations · 2019
- 3Path Control of Quadruped Robot through Convolutional Neural Networks9 citations · 2018
- 4Design of a Robot Application with Regard to Energy Efficiency4 citations · 2021
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- 7Communication and Interaction between Humanoid Robots and Humans2 citations · 2021
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- 9Control Algorithm of a pick & place three dimensional robots2 citations · 2013
- 10Dynamic Walking Experiments for Humanoid Robot2 citations · 2018