Current Research Directions


The Underwater Robotics Laboratory is gradually developing its activities around two related areas. The first is the hands-on design and construction of a remotely operated underwater vehicle. The second explores how observations of fish swimming may offer useful ideas for future bio-inspired underwater robots. These efforts are intended to support student learning, experimentation, and the progressive development of local research capability in underwater robotics.

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Watch the vehicle video on YouTube

The vehicle was initially developed through Team Black Pearl as a practical platform for learning, testing and advancing underwater robotic systems.

Research Direction 01

Underwater Vehicle Design and Development

The laboratory is developing a compact and modular underwater vehicle as a practical platform for student learning, system integration and experimental research. The present vehicle, named Dubojan, grew from an initial competition-focused project, but its broader value lies in the experience gained through repeated design, fabrication, simulation and underwater testing. The work remains developmental, with emphasis on reliability, maintainability and future modification.

  • Lightweight aluminium frame and serviceable acrylic pressure enclosure
  • Eight-thruster arrangement for multi-directional manoeuvring
  • Camera, depth, leak-detection and sonar-based sensing possibilities
  • Pixhawk/ArduSub-based low-level control and onboard computing
  • Computer vision, object detection, path tracking and station-keeping studies
  • CFD, simulation, pool testing and iterative improvement of the vehicle
Conceptual workflow from fish video observation and AI-assisted tracking to kinematic analysis and exploration of bio-inspired underwater robot concepts

Conceptual research workflow: biological motion is measured first, then examined for possible engineering relevance.

Research Direction 02

Fish Kinematics for Bio-inspired Underwater Robots

This emerging area explores whether the swimming patterns of fish can provide useful guidance for the future design and control of underwater robots. The work is currently centred on observing and measuring fish motion through video analysis, with the longer-term aspiration of translating selected biological features into simplified engineering concepts.

  • Video-based observation of fish swimming and turning
  • AI-assisted detection, tracking, and pose estimation
  • Tail-beat frequency, amplitude, and body-wave motion
  • Exploratory analysis of Strouhal number and swimming efficiency
  • Assessment of possible bio-inspired propulsion and control ideas

Lab In-Charge


Dr. Zobair Ibn Awal

Dr. Zobair Ibn Awal

ডঃ জোবায়ের ইবনে আওয়াল

Safety Science Researcher, Naval Architect & Ocean Engineer

Professor Department of Naval Architecture & Marine Engineering (NAME) Bangladesh University of Engineering & Technology (BUET) Dhaka 1000, Bangladesh