Team Tiburon - Autonomous Underwater Vehicle team of NIT Rourkela

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Team Tiburon - Autonomous Underwater Vehicle team of NIT Rourkela Autonomous Underwater Vehicle Team of NIT Rourkela
National Winner at SAVe 2019
Runner up at SAUVC 2

Team of dedicated students working towards building an Autonomous Underwater Vehicle. Founded in October 2014, this team consists of talented students who work on Mechanical Design, Software, Image Processing and Electronic Circuits. The team works towards participating in national and international competitions like Students Autonomous Underwater Vehicle (SAVe) held in Chennai and AUVSI Robosub, held in San Diego.

Congratulations on being promoted.🎉🎉Also First Female Vice Captain in Team Tiburon.
02/03/2024

Congratulations on being promoted.🎉🎉
Also First Female Vice Captain in Team Tiburon.

"Unlocking the realms of wisdom with Saraswati's grace! 🌸✨ Let's infuse our hearts with the magic of learning, innovatio...
14/02/2024

"Unlocking the realms of wisdom with Saraswati's grace! 🌸✨ Let's infuse our hearts with the magic of learning, innovation, and STEM spirit this Saraswati Puja. May our endeavors resonate with the melody of knowledge and the rhythm of discovery. Happy Saraswati Puja to all, as we embark on an enlightening journey together! 📚🔬

The new year bodes for new changes and the aim of Team Tiburon is to reach the summit of the mountain. Team Tiburon is h...
10/02/2021

The new year bodes for new changes and the aim of Team Tiburon is to reach the summit of the mountain.

Team Tiburon is happy to announce the Executive Body for the session 2021-22. We hope that the new Executive Body inspires others to dream, learn and do more valuable work so that we can have a fruitful year ahead.

Hello Freshers and Sophomores!!The Induction Day has finally arrived. Inductions of Team Tiburon will be held on 9th Jan...
08/01/2021

Hello Freshers and Sophomores!!
The Induction Day has finally arrived. Inductions of Team Tiburon will be held on 9th January 2021, 10AM. No prior knowledge about the AUVs is needed and the induction process is open for all branches. Stay tuned to our social media pages to know more about our subsystems. Follow our pages and join the whatsapp group for details of the Induction Process

Website: https://auvnitrkl.github.io/
Whatsapp: http://bit.ly/TiburonFreshers

05/01/2021

Hello Freshers and Sophomores!!

We hope that you all had experienced first hand the experience of Team Tiburon by attending the Orientation of Team Tiburon. But there were many who could not attend it due to time constraints.

But no worries. Team Tiburon will be uploading the Subsystem Orientation Videos each day for all the Subsystems so that you can have the feeling of how we work in Team Tiburon.

Additionally, we will be having our Inductions for all subsystems on Saturday, 9 January. So, make sure to subscribe to our YouTube channel and follow our social media handles for regular updates.

Link to the YouTube playlist is in the bio.

Music by

05/01/2021

Hello Freshers and Sophomores!!
We hope that you all had experienced first hand the experience of Team Tiburon by attending the Orientation of Team Tiburon. But there were many who could not attend it due to time constraints.

But no worries. Team Tiburon will be uploading the Subsystem Orientation Videos each day for all the Subsystems so that you can have the feeling of how we work in Team Tiburon.

Additionally, we will be having our Inductions for all subsystems on Saturday, 9 January. So, make sure to subscribe to our YouTube channel and follow our social media handles for regular updates.

Link to the YouTube playlist is in the bio.

Music by

Greetings y'all. We hope that all are safe and sound at their homes. In the wake of this pandemic, things have been wors...
02/01/2021

Greetings y'all.

We hope that all are safe and sound at their homes. In the wake of this pandemic, things have been worse off in most scenarios. But on the bright side, disruptive innovation has impacted our lives with almost everything being taken to the online medium. To play along the trend, Team Tiburon is organizing it's online orientations for all our subsystems.

It's time for y'all to gear up and know more about the team and how we all work. Stay tuned with our social media pages and join us on 3rd January 6:30 pm.

Join the WhatsApp group for more updates.
https://chat.whatsapp.com/DE7AOY8WUIfEoLsmy5v88R

Team Tiburon is an interdisciplinary team from NIT, Rourkela, that works towards designing and developing AUVs (Autonomo...
25/12/2020

Team Tiburon is an interdisciplinary team from NIT, Rourkela, that works towards designing and developing AUVs (Autonomous Underwater Vehicle).

The Mechanical Subsystem works to design and build robust and capable underwater vehicles.

The Electronics Subsystem serves as the bridge between the software stack of the AUV and the outside world.

The Software Subsystem develops modular and error-free software, to get the vehicles working for challenging tasks with the help of Artificial Intelligence and Computer Vision.

The Acoustic Subsystem handles the processing of underwater acoustic signals using high speed data acquisition circuits.

The Public Relations Team reaches out to technology enthusiasts and keeps them updated about the work of our team.

We have excelled in many competitions at national and international levels like

🌊 SAUVC Singapore
🌊 Robosub SanDiego
🌊 SAVe Chennai

We welcome freshers of all branches with open arms to work with our team and be a part of the Tiburon Legacy

Join the Whatsapp group for details on the Orientation and Induction process.

http://bit.ly/TiburonFreshers

Website
https://auvnitrkl.github.io/

Follow us
https://www.instagram.com/auvnitrkl/
https://www.facebook.com/tiburonauv
https://www.linkedin.com/school/tiburonauv/

This is an approach for vision-based navigation of underwater robots that relies on the use of video mosaics of the sea ...
21/11/2020

This is an approach for vision-based navigation of underwater robots that relies on the use of video mosaics of the sea bottom as environmental representations for navigation. During navigation, a set of efficient visual routines are used for the fast and accurate localization of the underwater vehicle with respect to the mosaic. These visual routines were developed taking into account the operating requirements of real-time position sensing, error bounding, and computational load. A visual servoing controller, based on the vehicle's kinematics, is used to drive the vehicle along a computed trajectory, specified in the mosaic, while maintaining constant altitude. The trajectory toward a goal point is generated online to avoid undefined areas in the mosaic. This also shows that without resorting to additional sensors, visual information can be used to create environment representations of the sea bottom (mosaics) and support long runs of navigation in a robust manner.

As autonomous underwater vehicles (AUVs) are becoming routinely used in an exploratory context for ocean science, the go...
13/11/2020

As autonomous underwater vehicles (AUVs) are becoming routinely used in an exploratory context for ocean science, the goal of visually augmented navigation (VAN) is to improve the near-seafloor navigation precision of such vehicles without imposing the burden of having to deploy additional infrastructure. This is in contrast to traditional acoustic long baseline navigation techniques, which require the deployment, calibration, and eventual recovery of a transponder network. To achieve this goal, VAN is formulated within a vision-based simultaneous localization and mapping (SLAM) framework that exploits the systems-level complementary aspects of a camera and strap-down sensor suite. The result is an environmentally based navigation technique robust to the peculiarities of low-overlap underwater imagery. The method employs a view-based representation where camera-derived relative-pose measurements provide spatial constraints, which enforce trajectory consistency and also serve as a mechanism for loop closure, allowing for error growth to be independent of time for revisited imagery. Multisensor VAN framework have compelling advantages over a purely vision-only approach that is: 1) improving the robustness of low-overlap underwater image registration; 2) setting the free gauge scale; and 3) allowing for a disconnected camera-constraint topology.

Address

Technology Innovation And Industry Relations Building, National Institute Of Technology
Rourkela
769008

Telephone

+917978282568

Website

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