Ammar Al-Jodah

About

Ammar Al-Jodah is a robotics researcher whose work bridges intelligent control, rehabilitation engineering, and autonomous navigation. His primary research areas include motion control of mobile robots, exoskeleton systems for rehabilitative care, and simultaneous localization and mapping (SLAM). Al-Jodah’s most impactful contribution is a PSO-optimized neural network PID control approach for four-wheeled omnidirectional mobile robots, which has garnered 31 citations and addresses the growing demand for automation in inaccessible environments. He has also made significant strides in medical robotics, designing an Active Disturbance Rejection Control system for knee-joint exoskeletons (27 citations) to enhance rehabilitative care through robust anti-disturbance performance. In the domain of soft robotics, Al-Jodah developed second-order sliding mode controllers for pneumatic artificial muscles, achieving precise control for single-link robotic arms. His work on SLAM includes an orientation correction method for Hector SLAM to mitigate drift during mapping, and a trajectory-based approach for posture and map restoration. Through these contributions, Al-Jodah demonstrates a commitment to advancing both mobile and medical robotics, with his citation record reflecting growing recognition in these interconnected fields.

Research Focus

Key Achievements

Top Papers

1. 1
   PSO-based optimized neural network PID control approach for a four wheeled omnidirectional mobile robot

   31 citations · 2022
2. 2
   Anti-disturbance control design of Exoskeleton Knee robotic system for rehabilitative care

   27 citations · 2024
3. 3
   Second Order Sliding Mode Controller Design for Pneumatic Artificial Muscle

   13 citations · 2018
4. 4
   Orientation Correction for Hector SLAM at Starting Stage

   7 citations · 2019
5. 5
   Posture and Map Restoration in SLAM Using Trajectory Information

   2 citations · 2022

Key Collaborators

Contact & Links