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Miniature Underwater Robot

MUR is an open-source miniature underwater robot platform for underwater exploration, environmental monitoring, and robotics research.

Miniature Underwater Robot

Components

Hardware components

WIZnet parts

Project description

Research : https://www.sciencedirect.com/science/article/pii/S2468067225000938

Miniature Underwater Robot

๐Ÿ“ŒOverview

MUR (Miniature Underwater Robot) is an open-source small underwater robot platform designed for underwater exploration, environmental monitoring, and robotics research.

Traditional underwater experiments and exploration face several challenges:

  • Equipment is expensive
  • Operation and development require specialized expertise
  • Proper facilities (test tanks, underwater testing sites, etc.) are often necessary

As a result, small research labs, educational groups, and hobbyist communities have difficulty participating.

To lower this barrier, the project makes both its hardware and software open source and adopts a ROS-based network architecture.
Its core goal is to enable researchers, educators, and makers to conduct real underwater robotics experiments at low cost.

๐Ÿ“ŒFeatures

  • Precision control: 5-DOF thrust system supporting position and attitude control as well as path following
  • Sensing: Built-in IMU, pressure, temperature/humidity, and leak detection sensors, plus optional expansion with GPS and environmental sensors
  • Perception capabilities: Supports up to 5 cameras with vision- and ML-based perception
  • Communication: Underwater acoustic modem, surface Wi-Fi, and high-speed Ethernet tether
  • Operating modes: Supports autonomous navigation, remote teleoperation, and multi-robot expansion
  • ROS-based: Modular package structure, topic/service-based communication, and full system launch via mur.launch
  • Real-time processing: Sensor fusion with a unified architecture for both simulation and real hardware

๐Ÿ“ŒSystem Architecture

์ธ๋„ค์ผ.png

The system architecture of MUR is composed of the following core components.

  1. MUR Compute Module Mini
  2. MUR Sensor and ESC Control 
  3. MUR ESC to Thruster Control 

1. MUR Compute Module Mini

1. MUR Compute Module Mini

It serves as the brain of MUR, running the full ROS-based software stack.

Key Features

  • Raspberry Pi Compute Module 4 Integration
  • Teensy 4.0 Microcontroller
  • CC1101 Radio Module Slot
  • 6-Port USB 2.0 Hub
  • 3-Port Ethernet
  • I2C Interfaces:
  • HDMI Port 
  • 5V Fan Port
  • USB OTG Port
  • Leak Detection Sensors

Functionality

The Compute Module Mini serves as the central coordinator for the MUR, responsible for:

  • It processes sensor data and executes control algorithms.
  • It manages and relays communication between internal subsystems and external controllers.
  • It provides interfaces for monitoring, debugging, and updates.
  • It maintains system stability and reliability through power and thermal management.

2. MUR Sensor and ESC Control 

2. MUR Sensor and ESC Control

The MUR Sensor and ESC Control PCB is dedicated to precise sensor data acquisition and efficient motor control, ensuring accurate environmental awareness and responsive maneuverability.

Key Features

  • Integrated Sensors 
    • IMUs, Magnetometers, Accelerometer, Environmental Sensors
  • I/O Interfaces
    • Three I2C ports, Two serial ports, Three CAN bus channels, Eight PWM outputs
  • Ethernet Connectivity
    • W5500 Ethernet controller: Ensures stable, high-speed wired networking.
    • RJ45 connector with passthrough
  • Power Management
    • XT60 and XT30 connectors
  • Leak Detection
    • Two JST connectors plus three header pins

Functionality

  • It collects and processes environmental and positional data essential for autonomous operation and decision-making.
  • Through ESC control, it precisely regulates thruster speed, enabling accurate and agile maneuvering.
  • It facilitates smooth data and command flow between sensors, actuators, and the central computing module.
  • It detects early signs of leakage and performs appropriate response actions to enhance system safety.

3. MUR ESC to Thruster Control

3. MUR ESC to Thruster Control

The MUR ESC-to-Thruster Control PCB acts as the propulsion systemโ€™s power distribution center, delivering stable and efficient power to each thruster.

Key Features

  • ESC Connectivity
  • Thruster Connections
  • Power Distribution
  • Compact and Robust Design

Functionality

  • Distributing power efficiently from the main power source to all thrusters through ESCs.
  • Providing reliable and maintainable connections between ESCs and thrusters, reducing downtime and simplifying repairs.
  • Handling the propulsion systemโ€™s high current safely while preserving overall performance and reliability.

๐Ÿ“ŒRole and Application of the W5500

The W5500 is used in MUR as a key Ethernet communication module that links the Teensy-based embedded board with the upper-level ROS computer. In underwater environments where wireless communication is unreliable, all sensor streaming and control command transmission are handled through the W5500 to ensure stable data exchange. The EthernetManager in the Teensy firmware manages network configuration and packet handling, providing a low-latency and highly reliable communication structure.

Source Link 

Main Roles of the W5500

  • Establishing a Wired Communication Backbone
    • Provides a stable Ethernet channel connecting the Teensy and the upper-level ROS computer.
  • Sensor Data Transmission
    • Streams IMU, pressure, and environmental sensor data in real time over UDP.
  • Receiving Control Commands
    • Receives thrust commands, mode-switch signals, and other control instructions from the upper system in real time.
  • Automated Network Management
    • The EthernetManager automatically handles IP configuration, socket management, and link status detection.

Key Benefits

  • Enables real-time control without noticeable latency, even in underwater environments where wireless signals rapidly attenuate
  • Minimizes MCU processing load, improving sensor handling and thruster control performance
  • Provides the high-reliability, low-latency data link required for research-grade and experimental AUVs

๐Ÿ“ŒWIZnet Strategic Value

  • Underwater, Wi-Fi attenuates rapidly and radio bandwidth is extremely limited, making wired Ethernet the most reliable option for real-time monitoring, control, and high-volume data transfer.
  • MUR reflects this reality by adopting tethered Ethernet as its primary connection method, a design choice that aligns well with the high compatibility and reliability of WIZnet Ethernet chipsets.
  • WIZnet modules can be applied directly to underwater network infrastructure such as base stations, underwaterโ€“surface bridges, and multi-robot management nodes.
  • When combined with underwater communication systems like BlueBuzz, they can also enable applications such as hybrid underwaterโ€“surface gateways..

๐Ÿ“ŒMarket & Application Value

Key Application Areas

  • Marine and freshwater environmental research: Suitable for water-quality and environmental data collection, red tide and pollution monitoring, and various ecological studies
  • Underwater robot control and autonomy research: Validated as a research platform for state estimation, path planning, SLAM, and related academic applications
  • Educational and training platform: Ideal as a hands-on AUV for marine robotics courses in universities and research institutions, supporting learning in ROS, sensor fusion, and underwater communication

Advantages (Compared to Existing Alternatives)

  • Significantly lower cost than commercial AUVs (approximately $700โ€“$1,600)
  • Fully open-source hardware and software, making customization and repair easy
  • ROS-based architecture enables immediate integration with existing algorithms, SLAM frameworks, and control modules

Expansion Potential

  • Can be extended into a multi-robot (swarm) research platform
  • Can evolve into a cooperative exploration and underwater networking platform by integrating underwater communication devices such as BlueBuzz and additional sensors

๐Ÿ“ŒExternal Indicators

Github

  • โญ 37 Stars
  • ๐Ÿ‘€ 2 Watching
  • โ‘‚ 6 Forks

Use in laboratories and institutions

1. HKUST  (https://ri.hkust.edu.hk/research/marine-robotics)

Use in laboratories and institutions

HKUST (Hong Kong University of Science and Technology) Marine Robotics introduces MUR as โ€œa core platform for future underwater academic research.โ€

2. ROAR Lab (https://sites.nd.edu/roarlab/underwater-vehicle-navigation)

The ROAR Lab at the University of Notre Dame in the United States is using MUR as an AUV platform for research on underwater state estimation and path planning.

Use in laboratories and institutions

The ROAR Lab at the University of Notre Dame in the United States is using MUR as an AUV platform for research on underwater state estimation and path planning.

The ROAR Labโ€™s Underwater Vehicle Navigation project studies navigation techniques that allow a robot to estimate its position and plan paths underwater without GPS. These methods were applied to MUR, an open-source miniature underwater robot platform, and validated in real underwater environments.

๐Ÿ“ŒSummary

MUR is a small underwater robot platform that combines open-source hardware with a ROS-based software stack, offering a level of completeness well suited for research and education. Despite its low cost, it provides multi-axis control, a wide range of sensors, and a full simulation environment, making it an excellent experimental platform. Its architecture is particularly notable for supporting the sensor processing, autonomous control, and multi-robot scalability required in underwater applications.

 


 

๐Ÿ“Œ๊ฐœ์š”

MUR(Miniature Underwater Robot)๋Š” ์ˆ˜์ค‘ ํƒ์‚ฌ, ํ™˜๊ฒฝ ๋ชจ๋‹ˆํ„ฐ๋ง, ๋กœ๋ณดํ‹ฑ์Šค ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•ด ์„ค๊ณ„๋œ ์˜คํ”ˆ์†Œ์Šค ์†Œํ˜• ์ˆ˜์ค‘ ๋กœ๋ด‡ ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค.

๊ธฐ์กด์˜ ์ˆ˜์ค‘ ์‹คํ—˜๊ณผ ํƒ์‚ฌ๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์–ด๋ ค์›€์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค:

  • ์žฅ๋น„๊ฐ€ ๋งค์šฐ ๊ณ ๊ฐ€์ด๋ฉฐ
  • ์šด์šฉ๊ณผ ๊ฐœ๋ฐœ์— ์ „๋ฌธ์ ์ธ ๊ธฐ์ˆ ์ด ํ•„์š”ํ•˜๊ณ 
  • ํ…Œ์ŠคํŠธ ํƒฑํฌ๋‚˜ ์ˆ˜์ค‘ ์‹คํ—˜ ์žฅ์†Œ์™€ ๊ฐ™์€ ์ ์ ˆํ•œ ์‹œ์„ค์ด ์š”๊ตฌ๋˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค.

์ด ๋•Œ๋ฌธ์— ์ž‘์€ ์—ฐ๊ตฌ์‹ค, ๊ต์œก ๋‹จ์ฒด, ์ทจ๋ฏธ ๊ธฐ๋ฐ˜ ์ปค๋ฎค๋‹ˆํ‹ฐ๋Š” ์ฐธ์—ฌํ•˜๊ธฐ๊ฐ€ ์‰ฝ์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์žฅ๋ฒฝ์„ ๋‚ฎ์ถ”๊ธฐ ์œ„ํ•ด MUR ํ”„๋กœ์ ํŠธ๋Š” ํ•˜๋“œ์›จ์–ด์™€ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๋ชจ๋‘ ์˜คํ”ˆ์†Œ์Šค๋กœ ๊ณต๊ฐœํ•˜๊ณ ,
ROS ๊ธฐ๋ฐ˜ ๋„คํŠธ์›Œํฌ ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ฑ„ํƒํ–ˆ์Šต๋‹ˆ๋‹ค.
ํ•ต์‹ฌ ๋ชฉํ‘œ๋Š” ์—ฐ๊ตฌ์ž, ๊ต์œก์ž, ๋ฉ”์ด์ปค๊ฐ€ ์ €๋น„์šฉ์œผ๋กœ ์‹ค์ œ ์ˆ˜์ค‘ ๋กœ๋ด‡ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๐Ÿ“ŒํŠน์ง•

  • ์ •๋ฐ€ ์ œ์–ด: ์œ„์น˜ยท์ž์„ธ ์ œ์–ด์™€ ๊ฒฝ๋กœ ์ถ”์ข…์„ ์ง€์›ํ•˜๋Š” 5์ž์œ ๋„(5-DOF) ์ถ”์ง„ ์‹œ์Šคํ…œ
  • ์„ผ์‹ฑ: ๋‚ด์žฅ IMU, ์••๋ ฅ ์„ผ์„œ, ์˜จ๋„/์Šต๋„ ์„ผ์„œ, ๋ˆ„์ˆ˜ ๊ฐ์ง€ ์„ผ์„œ ํƒ‘์žฌ, ์ถ”๊ฐ€๋กœ GPS ๋ฐ ํ™˜๊ฒฝ ์„ผ์„œ ํ™•์žฅ ๊ฐ€๋Šฅ
  • ์ธ์ง€ ๊ธฐ๋Šฅ: ์ตœ๋Œ€ 5๋Œ€์˜ ์นด๋ฉ”๋ผ๋ฅผ ์ง€์›ํ•˜๋ฉฐ, ๋น„์ „ยท๋จธ์‹ ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์ธ์ง€ ๊ธฐ๋Šฅ ์ œ๊ณต
  • ํ†ต์‹ : ์ˆ˜์ค‘ ์Œํ–ฅ ๋ชจ๋Ž€, ์ˆ˜๋ฉด Wi-Fi, ๊ณ ์† ์ด๋”๋„ท ํ…Œ๋” ์ง€์›
  • ์šด์šฉ ๋ชจ๋“œ: ์ž์œจ ํ•ญ๋ฒ•, ์›๊ฒฉ ์กฐ์ข…(ํ…Œ๋”/๋ฌด์„ ), ๋‹ค์ค‘ ๋กœ๋ด‡ ํ™•์žฅ ์ง€์›
  • ROS ๊ธฐ๋ฐ˜: ๋ชจ๋“ˆํ˜• ํŒจํ‚ค์ง€ ๊ตฌ์กฐ, ํ† ํ”ฝ/์„œ๋น„์Šค ๊ธฐ๋ฐ˜ ํ†ต์‹ , mur.launch๋ฅผ ํ†ตํ•œ ์ „์ฒด ์‹œ์Šคํ…œ ๊ตฌ๋™
  • ์‹ค์‹œ๊ฐ„ ์ฒ˜๋ฆฌ: ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹ค์ œ ํ•˜๋“œ์›จ์–ด ๋ชจ๋‘์— ์ ์šฉ ๊ฐ€๋Šฅํ•œ ํ†ตํ•ฉ ์•„ํ‚คํ…์ฒ˜ ๊ธฐ๋ฐ˜ ์„ผ์„œ ์œตํ•ฉ ์ฒ˜๋ฆฌ

๐Ÿ“Œ์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜

์ธ๋„ค์ผ.png

MUR์˜ ์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ•ต์‹ฌ ๊ตฌ์„ฑ ์š”์†Œ๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ์Šต๋‹ˆ๋‹ค.

  1. MUR ์ปดํ“จํŠธ ๋ชจ๋“ˆ ๋ฏธ๋‹ˆ (MUR Compute Module Mini)
  2. MUR ์„ผ์„œ ๋ฐ ESC ์ œ์–ด ๋ชจ๋“ˆ (MUR Sensor and ESC Control)
  3. MUR ESC-to-์ถ”๋ ฅ๊ธฐ ์ œ์–ด ๋ชจ๋“ˆ (MUR ESC to Thruster Control)

1. MUR Compute Module Mini

1. MUR Compute Module Mini

MUR์˜ ๋‘๋‡Œ ์—ญํ• ์„ ํ•˜๋ฉฐ, ์ „์ฒด ROS ๊ธฐ๋ฐ˜ ์†Œํ”„ํŠธ์›จ์–ด ์Šคํƒ์„ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ํŠน์ง• 

  • Raspberry Pi Compute Module 4 ํ†ตํ•ฉ
  • Teensy 4.0 ๋งˆ์ดํฌ๋กœ์ปจํŠธ๋กค๋Ÿฌ
  • CC1101 ๋ฌด์„  ํ†ต์‹  ๋ชจ๋“ˆ ์Šฌ๋กฏ
  • 6ํฌํŠธ USB 2.0 ํ—ˆ๋ธŒ
  • 3ํฌํŠธ ์ด๋”๋„ท
  • I2C ์ธํ„ฐํŽ˜์ด์Šค
  • HDMI ํฌํŠธ
  • 5V ํŒฌ ํฌํŠธ
  • USB OTG ํฌํŠธ
  • ๋ˆ„์ˆ˜ ๊ฐ์ง€ ์„ผ์„œ

๊ธฐ๋Šฅ 

  • Compute Module Mini๋Š” MUR์˜ ์ค‘์•™ ์ฝ”๋””๋„ค์ดํ„ฐ ์—ญํ• ์„ ํ•˜๋ฉฐ ๋‹ค์Œ์„ ๋‹ด๋‹นํ•ฉ๋‹ˆ๋‹ค:
  • ์„ผ์„œ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ณ  ์ œ์–ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค.
  • ๋‚ด๋ถ€ ์„œ๋ธŒ์‹œ์Šคํ…œ๊ณผ ์™ธ๋ถ€ ์ปจํŠธ๋กค๋Ÿฌ ๊ฐ„์˜ ํ†ต์‹ ์„ ๊ด€๋ฆฌํ•˜๊ณ  ์ค‘๊ณ„ํ•ฉ๋‹ˆ๋‹ค.
  • ๋ชจ๋‹ˆํ„ฐ๋ง, ๋””๋ฒ„๊น…, ์—…๋ฐ์ดํŠธ๋ฅผ ์œ„ํ•œ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.
  • ์ „์› ๋ฐ ์—ด ๊ด€๋ฆฌ ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ์‹œ์Šคํ…œ ์•ˆ์ •์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค.

2. MUR Sensor and ESC Control 

2. MUR Sensor and ESC Control

MUR ์„ผ์„œ ๋ฐ ESC ์ œ์–ด PCB๋Š” ์ •๋ฐ€ํ•œ ์„ผ์„œ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘๊ณผ ํšจ์œจ์ ์ธ ๋ชจํ„ฐ ์ œ์–ด์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์ •ํ™•ํ•œ ํ™˜๊ฒฝ ์ธ์ง€์™€ ๋ฏผ์ฒฉํ•œ ๊ธฐ๋™์„ฑ์„ ๋ณด์žฅํ•ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ํŠน์ง•

  • ํ†ตํ•ฉ ์„ผ์„œ (Integrated Sensors)
  • IMU
  • ์ž๋ ฅ๊ณ„(Magnetometer)
  • ๊ฐ€์†๋„๊ณ„(Accelerometer)
  • ํ™˜๊ฒฝ ์„ผ์„œ(์˜จ๋„/์Šต๋„ ๋“ฑ Environmental Sensors)
  • I/O ์ธํ„ฐํŽ˜์ด์Šค (I/O Interfaces)
  • 3ร— I2C ํฌํŠธ
  • 2ร— ์‹œ๋ฆฌ์–ผ ํฌํŠธ
  • 3ร— CAN ๋ฒ„์Šค ์ฑ„๋„
  • 8ร— PWM ์ถœ๋ ฅ
  • ์ด๋”๋„ท ์—ฐ๊ฒฐ (Ethernet Connectivity)
  • W5500 ์ด๋”๋„ท ์ปจํŠธ๋กค๋Ÿฌ: ์•ˆ์ •์ ์ด๊ณ  ๊ณ ์†์˜ ์œ ์„  ๋„คํŠธ์›Œํฌ ์ œ๊ณต
  • RJ45 ์ปค๋„ฅํ„ฐ(ํŒจ์Šค์Šค๋ฃจ ์ง€์›)
  • ์ „์› ๊ด€๋ฆฌ (Power Management)
  • XT60 ๋ฐ XT30 ์ปค๋„ฅํ„ฐ ์ œ๊ณต
  • ๋ˆ„์ˆ˜ ๊ฐ์ง€ (Leak Detection)
  • 2ร— JST ์ปค๋„ฅํ„ฐ + 3๊ฐœ์˜ ํ—ค๋” ํ•€ ์ง€์›

๊ธฐ๋Šฅ

  • ์ž์œจ ์šด์šฉ๊ณผ ์˜์‚ฌ๊ฒฐ์ •์— ํ•„์ˆ˜์ ์ธ ํ™˜๊ฒฝ ๋ฐ ์œ„์น˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ยท์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค.
  • ESC ์ œ์–ด๋ฅผ ํ†ตํ•ด ์ถ”๋ ฅ๊ธฐ ์†๋„๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ์กฐ์ ˆํ•˜์—ฌ ์ •ํ™•ํ•˜๊ณ  ๋ฏผ์ฒฉํ•œ ๊ธฐ๋™์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.
  • ์„ผ์„œยท์•ก์ถ”์—์ดํ„ฐยท์ค‘์•™ ์ปดํ“จํŒ… ๋ชจ๋“ˆ ๊ฐ„ ๋ฐ์ดํ„ฐ ๋ฐ ๋ช…๋ น ํ๋ฆ„์„ ์›ํ™œํ•˜๊ฒŒ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค.
  • ์ดˆ๊ธฐ ๋ˆ„์ˆ˜ ์ง•ํ›„๋ฅผ ๊ฐ์ง€ํ•˜๊ณ  ์ ์ ˆํ•œ ๋Œ€์‘ ๋™์ž‘์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ์‹œ์Šคํ…œ ์•ˆ์ „์„ฑ์„ ํ–ฅ์ƒํ•ฉ๋‹ˆ๋‹ค.

3. MUR ESC to Thruster Control

3. MUR ESC to Thruster Control

MUR ESC-to-Thruster Control PCB๋Š” ์ถ”์ง„ ์‹œ์Šคํ…œ์˜ ์ „๋ ฅ ๋ถ„๋ฐฐ ์„ผํ„ฐ ์—ญํ• ์„ ํ•˜๋ฉฐ, ๊ฐ ์ถ”๋ ฅ๊ธฐ์— ์•ˆ์ •์ ์ด๊ณ  ํšจ์œจ์ ์ธ ์ „๋ ฅ์„ ๊ณต๊ธ‰ํ•ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ํŠน์ง• 

  • ESC ์—ฐ๊ฒฐ(ESC Connectivity)
  • ์ถ”๋ ฅ๊ธฐ ์—ฐ๊ฒฐ(Thruster Connections)
  • ์ „๋ ฅ ๋ถ„๋ฐฐ(Power Distribution)
  • ์ปดํŒฉํŠธํ•˜๊ณ  ๊ฒฌ๊ณ ํ•œ ์„ค๊ณ„(Compact and Robust Design)

๊ธฐ๋Šฅ

  • ๋ฉ”์ธ ์ „์›์—์„œ ESC๋ฅผ ๊ฑฐ์ณ ๋ชจ๋“  ์ถ”๋ ฅ๊ธฐ๋กœ ์ „๋ ฅ์„ ํšจ์œจ์ ์œผ๋กœ ๋ถ„๋ฐฐํ•ฉ๋‹ˆ๋‹ค.
  • ESC์™€ ์ถ”๋ ฅ๊ธฐ ๊ฐ„์˜ ์—ฐ๊ฒฐ์„ ์•ˆ์ •์ ์ด๊ณ  ์œ ์ง€๋ณด์ˆ˜๊ฐ€ ์šฉ์ดํ•˜๋„๋ก ์ œ๊ณตํ•˜์—ฌ ๋‹ค์šดํƒ€์ž„์„ ์ค„์ด๊ณ  ์ˆ˜๋ฆฌ๋ฅผ ๋‹จ์ˆœํ™”ํ•ฉ๋‹ˆ๋‹ค.
  • ์ถ”์ง„ ์‹œ์Šคํ…œ์˜ ๊ณ ์ „๋ฅ˜ ์š”๊ตฌ๋ฅผ ์•ˆ์ „ํ•˜๊ฒŒ ์ฒ˜๋ฆฌํ•˜๋ฉด์„œ ์ „์ฒด ์„ฑ๋Šฅ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ“ŒW5500 ์—ญํ•  ๋ฐ ์ ์šฉ ๋ฐฉ์‹

W5500์€ MUR์—์„œ Teensy ๊ธฐ๋ฐ˜ ์ž„๋ฒ ๋””๋“œ ๋ณด๋“œ์™€ ์ƒ์œ„ ROS ์ปดํ“จํ„ฐ๋ฅผ ์—ฐ๊ฒฐํ•˜๋Š” ํ•ต์‹ฌ ์ด๋”๋„ท ํ†ต์‹  ๋ชจ๋“ˆ๋กœ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฌด์„ ์ด ์–ด๋ ค์šด ์ˆ˜์ค‘ ํ™˜๊ฒฝ์—์„œ ์•ˆ์ •์ ์ธ ๋ฐ์ดํ„ฐ ๊ตํ™˜์„ ์œ„ํ•ด, ๋ชจ๋“  ์„ผ์„œ ์ŠคํŠธ๋ฆฌ๋ฐ๊ณผ ์ œ์–ด ๋ช…๋ น ์ „์†ก์ด W5500์„ ํ†ตํ•ด ์ฒ˜๋ฆฌ๋ฉ๋‹ˆ๋‹ค. Teensy ํŽŒ์›จ์–ด์˜ EthernetManager๊ฐ€ ๋„คํŠธ์›Œํฌ ์„ค์ •๊ณผ ํŒจํ‚ท ์ฒ˜๋ฆฌ๋ฅผ ์ „๋‹ดํ•ด ์ง€์—ฐ์ด ์งง๊ณ  ์‹ ๋ขฐ์„ฑ์ด ๋†’์€ ํ†ต์‹  ๊ตฌ์กฐ๋ฅผ ๊ตฌํ˜„ํ•ฉ๋‹ˆ๋‹ค.

Source Link 

W5500์˜ ์ฃผ์š” ์—ญํ• 

  • ์œ ์„  ํ†ต์‹  ๊ธฐ๋ฐ˜ ํ™•๋ณด
    • Teensy์™€ ์ƒ์œ„ ROS ์ปดํ“จํ„ฐ๋ฅผ ์—ฐ๊ฒฐํ•˜๋Š” ์•ˆ์ •์ ์ธ ์ด๋”๋„ท ์ฑ„๋„ ์ œ๊ณต
  • ์„ผ์„œ ๋ฐ์ดํ„ฐ ์ „์†ก
    • IMUยท์••๋ ฅยทํ™˜๊ฒฝ ์„ผ์„œ ๋ฐ์ดํ„ฐ๋ฅผ UDP๋กœ ์‹ค์‹œ๊ฐ„ ์ŠคํŠธ๋ฆฌ๋ฐ
  • ์ œ์–ด ๋ช…๋ น ์ˆ˜์‹ 
    • ์ƒ์œ„ ์‹œ์Šคํ…œ์˜ ์ถ”๋ ฅยท๋ชจ๋“œ ์ „ํ™˜ ๋“ฑ ์ œ์–ด ์‹ ํ˜ธ๋ฅผ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ˆ˜์‹ 
  • ๋„คํŠธ์›Œํฌ ๊ด€๋ฆฌ ์ž๋™ํ™”
    • IP ์„ค์ •, ์†Œ์ผ“ ๊ด€๋ฆฌ, ๋งํฌ ์ƒํƒœ ๊ฐ์ง€ ๋“ฑ ์šด์˜์„ EthernetManager๊ฐ€ ์ž๋™ ์ฒ˜๋ฆฌ

ํ•ต์‹ฌ ํšจ๊ณผ

  • ๋ฌด์„  ์ „ํŒŒ๊ฐ€ ๊ธ‰๊ฒฉํžˆ ๊ฐ์‡ ๋˜๋Š” ์ˆ˜์ค‘์—์„œ๋„ ์ง€์—ฐ ์—†๋Š” ์‹ค์‹œ๊ฐ„ ์ œ์–ด ๊ตฌํ˜„
  • MCU ๋ถ€๋‹ด์„ ์ตœ์†Œํ™”ํ•˜์—ฌ ์„ผ์„œ ์ฒ˜๋ฆฌยท์ถ”๋ ฅ ์ œ์–ด ์„ฑ๋Šฅ ํ–ฅ์ƒ
  • ์—ฐ๊ตฌ์šฉยท์‹คํ—˜์šฉ AUV์—์„œ ์š”๊ตฌ๋˜๋Š” ๊ณ ์‹ ๋ขฐยท์ €์ง€์—ฐ ๋ฐ์ดํ„ฐ ๋งํฌ ํ™•๋ณด

๐Ÿ“ŒWIZnet ์ „๋žต์  ๊ฐ€์น˜

  • ์ˆ˜์ค‘ ํ™˜๊ฒฝ์—์„œ๋Š” Wi-Fi ์‹ ํ˜ธ๊ฐ€ ๋น ๋ฅด๊ฒŒ ๊ฐ์‡ ๋˜๊ณ  ๋ฌด์„  ๋Œ€์—ญํญ๋„ ๊ทน๋„๋กœ ์ œํ•œ๋˜๊ธฐ ๋•Œ๋ฌธ์—,
    ์‹ค์‹œ๊ฐ„ ๋ชจ๋‹ˆํ„ฐ๋งยท์ œ์–ดยท๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ ์ „์†ก์„ ์œ„ํ•ด์„œ๋Š” ์œ ์„  ์ด๋”๋„ท์ด ๊ฐ€์žฅ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์„ ํƒ์ง€์ž…๋‹ˆ๋‹ค.
  • MUR์€ ์ด๋Ÿฌํ•œ ํ˜„์‹ค์„ ๋ฐ˜์˜ํ•˜์—ฌ ํ…Œ๋”๋“œ ์ด๋”๋„ท์„ ๊ธฐ๋ณธ ์—ฐ๊ฒฐ ๋ฐฉ์‹์œผ๋กœ ์ฑ„ํƒํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” WIZnet ์ด๋”๋„ท ์นฉ์…‹์˜ ๋†’์€ ํ˜ธํ™˜์„ฑ๊ณผ ์•ˆ์ •์„ฑ๊ณผ๋„ ์ž˜ ๋งž์•„๋–จ์–ด์ง‘๋‹ˆ๋‹ค.
  • WIZnet ๋ชจ๋“ˆ์€ ๊ธฐ์ง€๊ตญ, ์ˆ˜์ค‘โ€“์ˆ˜๋ฉด ์ค‘๊ณ„ ์žฅ์น˜, ๋‹ค์ค‘ ๋กœ๋ด‡ ๊ด€๋ฆฌ ๋…ธ๋“œ ๋“ฑ๊ณผ ๊ฐ™์€ ์ˆ˜์ค‘ ๋„คํŠธ์›Œํฌ ์ธํ”„๋ผ์— ์ง์ ‘ ์ ์šฉ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๋˜ํ•œ BlueBuzz์™€ ๊ฐ™์€ ์ˆ˜์ค‘ ํ†ต์‹  ์‹œ์Šคํ…œ๊ณผ ๊ฒฐํ•ฉํ•˜๋ฉด, ์ˆ˜์ค‘โ€“์ˆ˜๋ฉด ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๊ฒŒ์ดํŠธ์›จ์ด์™€ ๊ฐ™์€ ์‘์šฉ๋„ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๐Ÿ“Œ์‹œ์žฅ ๋ฐ ์‘์šฉ ๊ฐ€์น˜

์ฃผ์š” ํ™œ์šฉ ๋ถ„์•ผ

  • ํ•ด์–‘ยท๋‚ด์ˆ˜ ํ™˜๊ฒฝ ์—ฐ๊ตฌ: ์ˆ˜์งˆยทํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘, ์ ์กฐยท์˜ค์—ผ ๋ชจ๋‹ˆํ„ฐ๋ง ๋“ฑ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ์— ํ™œ์šฉ
  • ์ˆ˜์ค‘ ๋กœ๋ด‡ ์ œ์–ด/์ž์œจ์ฃผํ–‰ ์—ฐ๊ตฌ: ์ƒํƒœ ์ถ”์ •, ๊ฒฝ๋กœ ๊ณ„ํš, SLAM ๋“ฑ ํ•™์ˆ  ์—ฐ๊ตฌ์šฉ ํ”Œ๋žซํผ์œผ๋กœ ๊ฒ€์ฆ๋จ
  • ๊ต์œกยทํ›ˆ๋ จ์šฉ ํ”Œ๋žซํผ: ๋Œ€ํ•™ยท์—ฐ๊ตฌ๊ธฐ๊ด€์˜ ํ•ด์–‘ ๋กœ๋ด‡ ๊ต์œก์—์„œ ์‹ค์Šต์šฉ AUV๋กœ ์ ํ•ฉํ•˜๋ฉฐ ROSยท์„ผ์„œํ“จ์ „ยท์ˆ˜์ค‘ํ†ต์‹  ํ•™์Šต์— ์œ ๋ฆฌ

์žฅ์  (๊ธฐ์กด ๋Œ€์•ˆ ๋Œ€๋น„)

  • ์ƒ์šฉ AUV ๋Œ€๋น„ ๋งค์šฐ ๋‚ฎ์€ ๋น„์šฉ(์•ฝ $700โ€“$1,600)
  • ํ•˜๋“œ์›จ์–ดยท์†Œํ”„ํŠธ์›จ์–ด ์™„์ „ ์˜คํ”ˆ์†Œ์Šค๋กœ ์ปค์Šคํ„ฐ๋งˆ์ด์ง•๊ณผ ์ˆ˜๋ฆฌ๊ฐ€ ์‰ฌ์›€
  • ROS ๊ธฐ๋ฐ˜ ๊ตฌ์กฐ๋ผ ๊ธฐ์กด ์•Œ๊ณ ๋ฆฌ์ฆ˜ยทSLAMยท์ œ์–ด ๋ชจ๋“ˆ๊ณผ ๋ฐ”๋กœ ์—ฐ๋™ ๊ฐ€๋Šฅ

ํ™•์žฅ ๊ฐ€๋Šฅ์„ฑ

  • ๋ฉ€ํ‹ฐ ๋กœ๋ด‡(์Šค์›œ) ์—ฐ๊ตฌ ํ”Œ๋žซํผ์œผ๋กœ ํ™•์žฅ ๊ฐ€๋Šฅ
  • BlueBuzz ๋“ฑ ์ˆ˜์ค‘ ํ†ต์‹  ์žฅ๋น„์™€ ์ถ”๊ฐ€ ์„ผ์„œ๋ฅผ ํ†ตํ•ฉํ•ด ํ˜‘๋ ฅ ํƒ์‚ฌยท์ˆ˜์ค‘ ๋„คํŠธ์›Œํฌ ์—ฐ๊ตฌ๋กœ ํ™•์žฅ ๊ฐ€๋Šฅ

๐Ÿ“Œ์กฐํšŒ์ˆ˜ ๋ฐ ๋ฐ˜์‘

Github

  • โญ 37 Stars
  • ๐Ÿ‘€ 2 Watching
  • โ‘‚ 6 Forks

์‹คํ—˜์‹ค ๋ฐ ๊ธฐ๊ด€์—์„œ์˜ ์‚ฌ์šฉ

1. HKUST  (https://ri.hkust.edu.hk/research/marine-robotics)

์‹คํ—˜์‹ค ๋ฐ ๊ธฐ๊ด€์—์„œ์˜ ์‚ฌ์šฉ

ํ™์ฝฉ๊ณผ๊ธฐ๋Œ€(HKUST) ํ•ด์–‘ ๋กœ๋ณดํ‹ฑ์Šค ์—ฐ๊ตฌํŒ€์€ MUR์„  โ€œํ–ฅํ›„ ์ˆ˜์ค‘ ํ•™์ˆ  ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ ํ”Œ๋žซํผโ€์œผ๋กœ ์†Œ๊ฐœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

2. ROAR Lab (https://sites.nd.edu/roarlab/underwater-vehicle-navigation)

The ROAR Lab at the University of Notre Dame in the United States is using MUR as an AUV platform for research on underwater state estimation and path planning.

์‹คํ—˜์‹ค ๋ฐ ๊ธฐ๊ด€์—์„œ์˜ ์‚ฌ์šฉ

๋ฏธ๊ตญ ๋…ธํŠธ๋ฅด๋‹ด ๋Œ€ํ•™๊ต(University of Notre Dame)์˜ ROAR Lab์€ MUR์„ ์ˆ˜์ค‘ ์ƒํƒœ ์ถ”์ • ๋ฐ ๊ฒฝ๋กœ ๊ณ„ํš ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ AUV ํ”Œ๋žซํผ์œผ๋กœ ํ™œ์šฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

ROAR Lab์˜ Underwater Vehicle Navigation ํ”„๋กœ์ ํŠธ๋Š” ๋กœ๋ด‡์ด GPS ์—†์ด๋„ ์ˆ˜์ค‘์—์„œ ์ž์‹ ์˜ ์œ„์น˜๋ฅผ ์ถ”์ •ํ•˜๊ณ  ๊ฒฝ๋กœ๋ฅผ ๊ณ„ํšํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•˜๋Š” ๋‚ด๋น„๊ฒŒ์ด์…˜ ๊ธฐ์ˆ ์„ ์—ฐ๊ตฌํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์ด๋Ÿฌํ•œ ๊ธฐ๋ฒ•๋“ค์€ ์˜คํ”ˆ์†Œ์Šค ์†Œํ˜• ์ˆ˜์ค‘ ๋กœ๋ด‡ ํ”Œ๋žซํผ์ธ MUR์— ์ ์šฉ๋˜์—ˆ์œผ๋ฉฐ, ์‹ค์ œ ์ˆ˜์ค‘ ํ™˜๊ฒฝ์—์„œ ๊ฒ€์ฆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

๐Ÿ“Œ์š”์•ฝ

MUR์€ ์˜คํ”ˆ์†Œ์Šค ํ•˜๋“œ์›จ์–ด์™€ ROS ๊ธฐ๋ฐ˜ ์†Œํ”„ํŠธ์›จ์–ด ์Šคํƒ์„ ๊ฒฐํ•ฉํ•œ ์†Œํ˜• ์ˆ˜์ค‘ ๋กœ๋ด‡ ํ”Œ๋žซํผ์œผ๋กœ, ์—ฐ๊ตฌ์™€ ๊ต์œก์— ์ ํ•ฉํ•œ ๋†’์€ ์™„์„ฑ๋„๋ฅผ ๊ฐ–์ถ”๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
์ €๋น„์šฉ์ž„์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋‹ค์ถ• ์ œ์–ด, ๋‹ค์–‘ํ•œ ์„ผ์„œ, ์™„์ „ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•˜์—ฌ ์šฐ์ˆ˜ํ•œ ์‹คํ—˜ ํ”Œ๋žซํผ์œผ๋กœ ํ‰๊ฐ€๋ฉ๋‹ˆ๋‹ค.
ํŠนํžˆ ์ˆ˜์ค‘ ํ™˜๊ฒฝ์—์„œ ์š”๊ตฌ๋˜๋Š” ์„ผ์„œ ์ฒ˜๋ฆฌ, ์ž์œจ ์ œ์–ด, ๋‹ค์ค‘ ๋กœ๋ด‡ ํ™•์žฅ์„ฑ์„ ๋ชจ๋‘ ์ง€์›ํ•˜๋Š” ์•„ํ‚คํ…์ฒ˜๊ฐ€ ๋‹๋ณด์ž…๋‹ˆ๋‹ค.

 

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