Rosli Omar

About

Dr. Rosli Omar is a leading researcher in autonomous robotics, specializing in path planning, mobile robot navigation, and reinforcement learning (RL) for unmanned systems. His work addresses critical challenges in enabling robots and autonomous vehicles to operate safely and efficiently in complex, dynamic environments. Dr. Omar’s most significant contributions include the development of a modified Q-learning algorithm that integrates distance metrics and virtual targets, dramatically improving path planning efficiency for mobile robots (75 citations). He has also advanced target tracking for UAVs using a Twin Delayed Deep Deterministic Policy Gradient (TD3) approach with achievement rewarding and multistage training (30 citations). His comprehensive reviews and comparative studies of configuration space representations and cell decomposition methods (49 and 39 citations, respectively) have provided foundational guidance for the field. Beyond terrestrial robotics, Dr. Omar has explored the efficacy of overground gait rehabilitation robotics (32 citations), demonstrating the versatility of his expertise. With over 270 total citations, his work is widely recognized for bridging theoretical algorithms with practical applications in autonomous navigation and robotic control.

Research Focus

Key Achievements

Top Papers

1. 1
   Modified Q-learning with distance metric and virtual target on path planning of mobile robot

   75 citations · 2022
2. 2
   Comparison of different configuration space representations for path planning under combinatorial method

   49 citations · 2019
3. 3
   Different Cell Decomposition Path Planning Methods for Unmanned Air Vehicles-A Review

   39 citations · 2020
4. 4
   The Efficacy of State of the Art Overground Gait Rehabilitation Robotics: A Bird's Eye View

   32 citations · 2017
5. 5
   Twin Delayed Deep Deterministic Policy Gradient-Based Target Tracking for Unmanned Aerial Vehicle With Achievement Rewarding and Multistage Training

   30 citations · 2022
6. 6
   Improved Potential Field Method for Robot Path Planning with Path Pruning

   17 citations · 2020
7. 7
   Efficient robotic path planning algorithm based on artificial potential field

   15 citations · 2021
8. 8
   Performance comparison of path planning methods

   5 citations · 2015
9. 9
   Car-like robot path tracker with kinematic constraints

   4 citations · 2016
10. 10
    Study of the Automatic Vehicle Fueling System using Robotic Arm Controlled via PLC

    4 citations · 2016

Key Collaborators

Contact & Links