Dr. Rafiqul is at the forefront of innovative research within the fields of robotics and artificial intelligence. His research utilises cutting-edge technologies, including computer vision, deep learning, reinforcement learning, and broad AI applications for autonomous robotics. His hands-on expertise with advanced robotic platforms is instrumental to his research. These platforms include:

• Unitree Go1 Edu: A versatile quadruped robot designed for dynamic manoeuvring across complex terrains, enabling studies in adaptive locomotion.
• Ghost Vision 60: Known for its substantial sensory and payload capabilities, this quadruped robot facilitates advanced research in robust environmental interaction.
• AgileX Scout: A 4WD robot that showcases the seamless integration of agility and precision in navigation, ideal for exploring efficient pathfinding algorithms.
• AgileX Bunker: A rugged tracked robot tailored for challenging terrains, enhancing studies in durable robotic design and functionality.
• Jackal UGV: A compact 4WD robot optimal for research on multi-robot systems, focusing on collaborative tasks and swarm intelligence.

Utilising these platforms, Dr. Rafiqul conducts research encompassing, but not limited to, the following areas:

• SLAM (Simultaneous Localisation and Mapping): Enhancing robotic understanding and mapping of unknown environments.
• Dead Reckoning and Robot Localisation through Sensor Fusion: Improving accuracy in how robots perceive their position and orientation.
• RL-Powered Motion Planning and Control: Developing smarter, more adaptable robotic movements using reinforcement learning.
• Swarming for CBRN Source Localisation: Employing both homogeneous and heterogeneous robot swarms to detect and localise chemical, biological, radiological, and nuclear sources.
• Deep Learning-Based Camouflage Generator: Creating algorithms that enable defence applications in camouflage generation, leveraging deep learning techniques.
• Autonomous Navigation: Advancing the autonomy of robots in navigating through diverse settings without human intervention.

Dr. Rafiqul's contributions significantly advance the field of robotics, making substantial impacts on both theoretical frameworks and practical applications in artificial intelligence and robotic systems.