SKU: 72333646304

Taobotics RS-MUL-Open-Source Air-Ground Coordinated Robotic Cluster for Collaboration

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Description

Taobotics RS-MUL-Open-Source Air-Ground Coordinated Robotic Cluster for CollaborationYour browser does not support the video tag. PRODUCT INTRODUCTION The RS MUL is composed of five parts: intelligent unmanned vehicle, intelligent UAV, positioning system, network communication system and multi agent cooperative control system. Based on the positioning system and communication system, the pose data of the agent is acquired and transmitted in real time, and the formation and cooperative control of unmanned vehicles and UAVs are realized

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PRODUCT INTRODUCTION

The RS-MUL is composed of five parts: intelligent unmanned vehicle, intelligent UAV, positioning system, network communication system and multi-agent cooperative control system. Based on the positioning system and communication system, the pose data of the agent is acquired and transmitted in real time, and the formation and cooperative control of unmanned vehicles and UAVs are realized through the preset algorithm.

PRODUCT FEATURES

Cooperative Operation

Multi-Agent

Cluster Formation

Safe and Reliable

Multiple Functions

Supporting Secondary Development

Rich Interface

Open Source Code

C++

Python

ROS

Use Tutorial

Superrestore Simulation System

System using advanced simulation technology to create highly realistic scenario, allows the user to safety, low cost of environment testing and validation algorithm. Users can operate the robot, observe its behavior, and adjust policies before verifying it and deploying it into real systems, reducing testing risk and cost.

Multi-Agent Heterogeneous Coordination

System to support different agent (such as uav and the car) between the work together. Drones conduct aerial reconnaissance and unmanned vehicles perform ground missions, and collaborative work improves mission complexity and overall efficiency.

Super Strong Computing Power

Jetson series hosts not only guarantee strong computing power support, but also provide users with efficient data processing and intelligent decision-making capabilities.

Open Source Code

Platform for all open source code, users are free to access, modify and extend the platform function.

Equipment Expandability

>Platform support easily add more equipment, the user can be achieved through a simple operation, without complex configuration or programming. This design simplifies the system expansion process and improves operational flexibility and efficiency.

Designer and manufacturer of mobile robots, shipped to over 50 countries worldwide

MULTI-AGENT COLLABORATION

Systems support uav and the car agents such as work together. These agents cooperate with each other to perform complex tasks such as aerial reconnaissance and ground transportation to improve overall operational efficiency and effectiveness.

MULTIPLE POSITIONING MODULE IS OPTIONAL

The air-ground cooperative formation system provides users with positioning systems of different schemes of positioning equipment, allowing users to freely choose positioning hardware equipment according to their own needs, so as to realize personalized customization.

PRODUCT FUNCTION

Change Formation

Simulation

Object Recognition

Three Vehicle Formation

Real Time Control

Run The Script with One Click

Ego Planner Simulation

Gazebo Fast Planner Simulation

Gazebo Fuxi Planner Simulation

Rviz Fuxi Planner Simulation

Drone Drill Ring

Flying Outside

APPLICATION CASE

TECHNICAL PARAMETER

Shipping Notes
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
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  • To process your return/exchange, please contact us at [email protected]
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SKU: 72333646304

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Heather260
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★★★★★ 5
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Birmingham, US
★★★★★ 5
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These socks are tight but after the first wash and dry , they fit perfect and NEVER slide off , ordered a second pack
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Whiting, US
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I love these socks! They last for years and they fit so nicely on my feet. I love that I can wear the in tennis shoes or wool boots and they never move!
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Reviewed in the United States on October 21, 2025

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