Tahseen Fadhel Abaas
Papers
7
Total Citations
43
H-Index
5
About
Tahseen Fadhel Abaas is a robotics and automation researcher whose work centers on two interconnected pillars: autonomous mobile robot navigation and robotic arm kinematics. With a growing body of publications accumulating over 40 citations, Abaas has made meaningful contributions to intelligent path planning and robot motion analysis. His research on swarm intelligence techniques — particularly Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) — demonstrates a sustained effort to develop faster, more reliable navigation algorithms for wheeled mobile robots operating in obstacle-rich environments. His 2020 paper on PSO with inertia weight variants for optimal path planning stands as his most recognized contribution, earning 10 citations for advancing computational efficiency in motion planning. Abaas has also pursued a parallel research thread dedicated to 5-DOF robotic arm analysis, producing multiple studies on forward kinematics, inverse kinematics, velocity kinematics using Jacobian matrices, and trajectory planning through polynomial equations — forming a comprehensive analytical framework for robotic manipulation. His hybrid algorithm approach to obstacle avoidance further reflects an innovative mindset. Students exploring swarm intelligence applications in robotics or foundational robotic arm mechanics will find Abaas's work an accessible and technically rigorous reference.
Research Focus
Key Achievements
Top Papers
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- 7Kinematics Analysis of 5 DOF Robotic Arm3 citations · 2020
Key Collaborators
Related papers
- Obstacle Avoidance and Path Planning of a Wheeled Mobile Robot Using Hybrid Algorithm
- Autonomous Mobile Robot Navigation Based on PSO Algorithm with Inertia Weight Variants for Optimal Path Planning
- Path Planning Optimization of a Mobile Robot based on Intelligence Algorithm
- Intelligent Hybrid Path Planning Algorithms for Autonomous Mobile Robots
- A COMPARATIVE STUDY FOR WHEELED MOBILE ROBOT PATH PLANNING BASED ON MODIFIED INTELLIGENT ALGORITHMS
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