Taobotics Shark680 - Open Source Bionic Robotic Fish with Smart Cluster Control and Three-Joint Design
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Taobotics Shark680 - Open Source Bionic Robotic Fish with Smart Cluster Control and Three-Joint Design
PRODUCT DETAILS
PRODUCT INTRODUCTION
Shark680 is an underwater biomimetic robotic fish developed by Chao Wendao, inspired by the physiological structure of fish. It supports intelligent cluster collaboration, has excellent concealment and military reconnaissance capabilities, and can efficiently execute tasks in complex waters.
PRODUCT FEATURES
Shark-like Design
Flexible in Movement
Strong Performance
Ultra-long Battery Life
Cluster Formation
Rich Interface
Secondary Development
Open Source Code
C++
Python
ROS
Use Tutorial
High Mobility
Adopting a three joint swing design, inspired by the swimming mechanism of fish. The precise three joints enable the robotic fish to navigate complex underwater environments with ease, effortlessly handling narrow slits, obstacles, precise positioning, and exploration tasks, demonstrating excellent performance.
Floating Adjustment
By adjusting the center of gravity and buoyancy of the internal mechanical structure, biomimetic fish can achieve sinking or floating. Moving the center of gravity component can increase the sinking force, while adjusting the center of gravity position to move the floating center upward can use buoyancy to make it rise.
Open Source Code
The robotic fish has excellent performance and is equipped with multiple interfaces to support secondary development. Whether it is improving control accuracy or expanding application scenarios, these interfaces can meet the needs and provide infinite possibilities.
Designer and manufacturer of mobile robots, shipped to over 50 countries worldwide
BIOMIMETIC SHARK DESIGN
Taking the deep-sea dominant shark as a reference, adopting a shark shaped design. This endows the bionic robotic fish with an elegant appearance, reduces resistance during movement, and enables the bionic robotic fish to perform tasks more quickly and agilely.
BIOMIMETIC FISH SWARM CONTROL
Each bionic fish has intelligent decision-making ability, adjusting its position and speed based on instructions and environmental information. Under cluster control, they automatically coordinate and maintain overall consistency based on the surrounding environment and the status of other members.
BIOMIMETIC FISH ROBOT CLUSTER FORMATION SYSTEM
The biomimetic robotic fish swarm formation system utilizes optical positioning technology to support multiple positioning systems and cluster communication. By using a unified control interface, the swarm formation and collaborative control of biomimetic robotic fish can be achieved, ensuring that they move along the planned route.
Overall Design Framework
The system consists of a ground station, wireless transmitter, camera, pool, and robotic fish. PC analyzes camera images, plans paths based on different situations, and returns control strategies to the robotic fish through serial ports and wireless modules.
Cluster Collaboration System
The system includes a positioning system, cluster control unit, communication equipment, and bionic robotic fish. The positioning system provides information, the control unit sends instructions, the robotic fish executes tasks, and the communication equipment ensures smooth information flow, achieving efficient collaboration.
BIOMIMETIC FISH ROBOT CLUSTER FORMATION SYSTEM HIGHLIGHTS
Collaborative Decision Making
By controlling algorithms and communication technology, information sharing between biomimetic fish can be achieved. Based on shared information, simulated fish can collaborate to make decisions to adapt to environmental changes and task requirements.
Distributed Control
Each bionic fish has the ability to make autonomous decisions without relying entirely on a central control unit. This enables fish schools to quickly adjust their formation and travel strategies in complex waters, demonstrating a high degree of flexibility and adaptability.
Task Allocation
The cluster adjusts its formation and task allocation in real-time based on tasks and environmental changes, avoiding resource waste and repetitive labor, improving efficiency, optimizing resource utilization, and ensuring optimal performance and coordination in changing environments.
PRODUCT FUNCTION
Teaching the Principle of Robotic Fish
Exploration of Underwater Organisms
Fluid Research
Environmental Monitoring
Underwater Exploration
View and Admire
APPLICATION CASE
TECHNICAL PARAMETER
REVIEWS
SHIPPING AND RETURNS
Shipping Method
We ship worldwide using the following carriers: DHL, FedEx, UPS, USPS, YunExpress.
Package&Shipping
Custom Tax
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- "Good news! Orders under US$800 typically have no customs fees. For larger orders, we'll declare a lower value to potentially minimize your customs fees."
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Shipping Package
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- Typically, customers can expect to receive their products within a month. However, this timeframe can vary depending on your location. Some customers may receive their orders much faster.
Order Processing Time
It typically takes 7-15 business days to process your order.
This timeframe accounts for order verification, quality control measures, and packaging.
If the payment is delayed, the processing time will be lengthened.
- Expedited service: If you need to get your order as soon as possible due to some accidental factors, you can email us (market@taobotics.com) to apply for expedited service. We're happy to help coordinate inventory with production, but please don't be angry if we can't speed up the process. This service is free for you.
Shipping Time
We typically ship on Thursdays.
The products shall be delivered by International Express within 15 working days.
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Shipping Cost
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Orders Tracking
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Note:
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Returns & Warranties
Returns: You have 7 days from receiving your order to return unopened items. You'll be responsible for any return shipping costs or other risks.
Warranty: If your product malfunctions during normal use within the warranty period, we'll repair it for free. For more details on the warranty, please check the WARRANTY & RETURN.
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