Habibollah Haron

About

Habibollah Haron is a leading figure in robotics and artificial intelligence, with a career dedicated to advancing autonomous navigation, robotic simulation, and intelligent control systems. His most influential work, the 2015 review on simultaneous localization and mapping (SLAM), has garnered 150 citations, establishing a foundational resource for researchers tackling the challenge of self-exploration in mobile robots. Haron’s contributions extend to practical simulation tools, such as developing robot simulation software for the Mitsubishi RV-2AJ using MATLAB/Simulink and V-Realm Builder, and modeling palletizer robots with Workspace5—both of which enhance industrial efficiency and educational accessibility. He has also pioneered advanced control methods, including adaptive synchronous artificial neural network-based PI-type sliding mode control for cooperative robot manipulators, and hybrid optimization approaches like GA-PSO-FASTSLAM to improve SLAM performance. His recent work on interactivity recognition graph neural networks (IR-GNN) for human–object interaction detection pushes the boundaries of human-robot collaboration. With over 200 citations across his portfolio, Haron’s research not only solves real-world robotics problems but also enriches e-learning environments, making him a pivotal figure in both theoretical and applied robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Review on simultaneous localization and mapping (SLAM)

   150 citations · 2015
2. 2
   Development of Robot Simulation Software for Five Joints Mitsubishi RV-2AJ Robot Using MATLAB/Simulink and V-Realm Builder

   16 citations · 2008
3. 3
   Robotic modeling and simulation of palletizer robot using Workspace5

   15 citations · 2007
4. 4
   Adaptive synchronous artificial neural network based PI-type sliding mode control on two robot manipulators

   10 citations · 2015
5. 5
   GA-PSO-FASTSLAM: A Hybrid Optimization Approach in Improving FastSLAM Performance

   7 citations · 2017
6. 6
   Improved Line Maze Solving Algorithm for Curved and Zig-zag Track

   7 citations · 2018
7. 7
   Interactivity Recognition Graph Neural Network (IR-GNN) Model for Improving Human–Object Interaction Detection

   4 citations · 2023
8. 8
   An Overview of Robotic Simulation E-learning

   4 citations · 2009
9. 9
   Artificial Neural Network Based Prediction Model of the Sliding Mode Control in Coordinating Two Robot Manipulators

   3 citations · 2014
10. 10
    Robotil Modelling and Simulation: Theory and Application

    2 citations · 2010

Key Collaborators

Contact & Links