✦ Autonomy on the Horizon

Team Torongo

Representing Bangladesh at RoboBoat 2026 (Sarasota, FL). We don’t just predict the future of maritime robotics; we engineer it.

✦ About The Mission

From Lab to Lagoon

Team Torongo is the culmination of advanced research in embedded systems and autonomous navigation. Hailing from Polynomial Institute, where we solve the variables of innovation. We have been selected to compete on the global stage at RoboBoat 2026. Our mission is to deploy an Autonomous Surface Vehicle (ASV) capable of navigating complex maritime environments without human intervention.
We are not just building a boat; we are developing a scalable maritime autonomy platform designed to tackle real-world challenges—from coastal surveillance to oceanographic exploration.

Research-Driven Innovation

Turning theoretical concepts into practical, real-world solutions through advanced R&D and experimentation.

Future Tech Leadership

Empowering the next generation through hands-on training, mentorship, and applied technology learning.

Engineering the Torongo ASV

A fusion of hydrodynamic efficiency and edge-computing power.

Hull & Mechanical Design

Torongo uses a twin-pontoon catamaran hull, selected for its excellent stability and redundancy. The hull was modeled in Fusion 360 and optimized using Maxsurf, with stability and resistance validated through simulation and the Savitsky planning method to ensure efficient propulsion.

The hull was 3D-printed in modular sections and fabricated using carbon-fiber-reinforced epoxy resin material with the 3D printed cast for its strength, low weight, and durability. Aluminum T-slot profiles allow flexible sensor mounting and future upgrades.

Dimensions: 590 mm × 412 mm × 200 mm

Propulsion & Control

The ASV uses four Blue Robotics T200 thrusters in an X-drive configuration, enabling omnidirectional movement (surge, sway, and yaw). This setup allows precise maneuvering during docking and obstacle-avoidance tasks.

Thrusters are driven by BLHeli ESCs, while stabilization and thrust mixing are handled by a Pixhawk Orange Cube, which actively compensates for wind and wave disturbances using onboard IMU data.

Electrical & Computing

Power is supplied by a high-energy INR21700 lithium-ion battery pack, providing full-mission endurance on a single charge.
High-level processing runs on a Raspberry Pi 5 (16GB RAM), capable of real-time LiDAR mapping and depth-camera processing without latency.
For safety, both hardware and software kill switches are implemented for immediate power shutdown.

Sensors & Communication

Torongo relies on a robust sensor suite for autonomous navigation:

  • RPLIDAR A3 for 360° object detection and mapping (25 m range)
  • Intel RealSense depth camera for color detection and close-range depth sensing
  • Integrated GPS and compass for positioning and heading
  • Dual-band Gemini-X radio for manual override and testing

Live telemetry, including battery status and system health, is transmitted to the shore station via Wi-Fi.

Testing & Validation

The ASV underwent extensive simulation and real-world testing:

  • Hydrodynamic and structural validation using Maxsurf
  • Software testing in a simulated competition environment
  • Long-duration water tests for leak detection
  • Tank testing and calibration of thrusters and ESCs
  • Outdoor validation of LiDAR range and vision accuracy

Final autonomous testing is ongoing in a competition-style environment to eliminate remaining imperfections.

Result

Torongo’s design combines hydrodynamic stability, precise omnidirectional control, reliable sensing, and robust autonomy, delivering a competition-ready ASV optimized for real-world performance.

✦ Project Philosophy

Strategic Autonomy

Our strategy for RoboBoat 2026 prioritizes reliability over raw speed. By utilizing a modular software architecture, Team Torongo can adapt to dynamic mission tasks such as the Acoustic Docking and Object Delivery challenges, in real-time. We are not just building a boat; we are developing a scalable maritime autonomy platform designed to tackle real-world challenges, from coastal surveillance to oceanographic exploration.

Phase 1

Precision Navigation (passing through gates).

Phase 2

Obstacle Avoidance (dynamic path planning).

Phase 3

Task Execution (automated docking & payload delivery).

✦ Journey

Explore Our Journey

RoboBoat 2026

Learn about the competition and our strategy

The Boat

Explore our autonomous surface vehicle

The Team

Meet the people behind the innovation

Projects

Discover our work and achievements

Torongo at a Glance

Autonomous Surface Vehicle
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Team Members
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Mission Challenges
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RoboBoat Competition
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✦ Gallery

Life at Torongo

✦ Team

Meet the Team

Abdullah Al Junaed

Mahir Shahriar Abedin

Reain Shahrior Poda

Mir Ashaduzzaman Akash

Arman Ahmed Aoun

Tamzid Rahman

Mehran Islam Mahim

Mohiuddin Hajary Jony

Rahmat Ullah Shishir

Al Imran

Al Mukit Siddiqui

Zidanul Islam Zidan

Protik Newyaz Patwary Fardi

Sadman Sajid Safi

Tahsin Shah