Underwater Robotics at Berkeley

Robots

2021
RoboSub AUV

Our latest generation

Currently in development, our 2021 RoboSub AUV has been designed to be 33% smaller and 40% lighter than our previous AUV. Please feel free to follow our major updates by checking out our Facebook page, or find us on Github for a closer peek at our daily progress.

  • 33% Smaller
  • 40% Lighter
  • Most computation power
  • Multimodal Solutions

2021
MATE ROV

Bearracuda

Bearracuda is UR@B’s first competition ROV that will be competing in the next International MATE ROV Competition! This vehicle embodies the resilience that our team has demonstrated throughout the Fall 2020 semester through navigating the entire design process virtually.

Bearracuda features a carbon fiber frame and multiple custom payload tools to complete missions regarding plastic pollution, climate change, and coral reefs. Specifically, Bearracuda is able to retrieve submerged objects (nets, bottles, coral samples, etc), conduct environmental studies using image recognition, and deploy devices/sensors for measurements and sampling.

  • Our first ROV for MATE ROV competition
  • Able to retrieve submerged objects
  • Image recognition
  • Environmental sensors for measurements and sampling

2019
RoboSub AUV

Project “Blue”

Blue is the first autonomous underwater vehicle that Underwater Robotics at Berkeley built (back when we were known as AUV’s at Berkeley). Blue features a stereoscopic vision system, data cataloging abilities, and a robotic arm. Blue is designed to complete image recognition tasks and manipulate objects with a robotic arm. Funding for Blue was largely made possible by OmniSci, whose software was used.

  • First generation
  • Steroscopic vision system
  • Image recognition task ready
  • Data cataloging

2018
ROV

Smol Bot

Smol Bot was the first operational submarine robot built as a test bed for controls, machine learning, and computer vision teams. The robot has tethered power cables and a 15ft USB chord so software teams can modify and deploy code while the vehicle is underwater. This enables the autonomous robot to be manually controlled and allows the team to execute different tasks in the same underwater dive. Funding for Smol Bot was made possible through grants from the UC Berkeley College of Engineering and Engineering Student Council.

  • Test bed for controls
  • For machine learning
  • For Computer vision
  • Funded through ESC

Interested in
Joining?

If you want to contribute to Underwater Robotics at Berkeley and work with amazing teammates, drop us a line!


Underwater Robotics at Berkeley

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