Mobile Robot Control Platform - Product Details

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Mobile Robot Control PlatformMobile Robot Control Platform

Name: Mobile Robot Control Platform
Brand: IQR Robotics

Web-based visual control and management platform for mobile robots, featuring SLAM mapping, autonomous navigation, remote monitoring, and modular task management

Mobile Robot Control Platform is a next-generation web-based visual control and management platform independently developed by Beijing IQuotient Robotics. Built around an immersive 3D interface, it integrates four core modules — SLAM Mapping & Navigation, GPS Navigation, 3D Point Cloud Mapping, and Workflow Orchestration — providing full lifecycle management for mobile robots from deployment to operations.

As the "digital command center" for mobile robots, the platform uses B/S architecture built on Vue.js + Element Plus + Three.js, delivering industry-leading real-time 3D robot model visualization. Users access the system via browser at http://[IP]:6098 with no client installation required. Compatible with both ROS1 (Noetic) and ROS2 (Humble/Iron), it flexibly adapts to various mobile robot platforms.

Fig 1-1 System Home — 3D Robot Visualization Interface

Core Value

Immersive Experience

Real-time 3D robot model display with at-a-glance status information and game-quality interactive controls

Cross-Platform

Supports both ROS1 and ROS2, compatible with Scout, TurtleBot, and various robot chassis

Zero-Barrier Operation

No ROS programming required — complete mapping, navigation, and node management through the visual interface

Real-Time Remote Monitoring

Ultra-low 8ms latency remote camera feed with real-time video streaming and remote control

Modular Architecture

SLAM mapping, GPS navigation, 3D point cloud, and workflow orchestration — four independently packaged modules, combined on demand

Easy Deployment

One-click deployment, browser access, supports both LAN and remote network environments with local data storage

Supported Scenarios

Indoor Inspection RobotsOutdoor Patrol & SecurityLab Sample Transport3D Environment ModelingFactory Logistics RobotsROS Education & Research

Product Features

Immersive 3D Visualization Interface

The redesigned home page uses Three.js 3D rendering engine for real-time robot model display with 360° rotation. The bottom Dock navigation bar provides quick access to five modules: Home, Tasks, Functions, Remote, and System. The top status bar displays real-time battery level, temperature, speed, GPS signal, operation mode, and connection status.

Multi-Mode SLAM Mapping & Navigation

Built-in complete SLAM mapping workflow. The Function Center provides SLAM mapping cards — click to enter the map management interface and browse saved maps. Click 'New Map' to auto-load the mapping environment with real-time progress display, then enter live SLAM mapping mode where you can observe map generation in real-time and save with one click.

Real-Time Remote Monitoring

The remote monitoring module delivers low-latency (8ms) real-time camera feed from the robot. View the robot's live video stream directly in the browser with fullscreen support, ideal for remote inspection, environment confirmation, and obstacle identification. Video streaming uses RTSP protocol for clear, smooth imagery.

ROS1/ROS2 Dual Compatibility

Supports both ROS1 (Noetic) and ROS2 (Humble/Iron) simultaneously. Through the node management module's launch configurations, users can flexibly switch between ROS version parameters and node combinations without code changes. Pre-configured core nodes (bringup, rtsp, sefe) with on-demand functional nodes (navigation, slam_map, gps_nav, tf_web).

Modular Function Architecture

The Function Center uses a card-based layout dividing system capabilities into four independent modules: SLAM Mapping & Navigation, GPS Navigation, 3D Point Cloud Mapping, and Workflow Orchestration. Each module is independently packaged and enabled on demand. An expandable toolbar on the right provides quick access to common operations.

Six-Theme Visual Switching

Six carefully designed theme skins for different scenarios and preferences: Default, Tactical Daylight, Elegant Gray Grid, Tactical Warship, Interstellar Hub (Soft), and Tactical Command. Switch themes instantly via the top dropdown menu.

Security & Access Control

Built-in user authentication module requiring login for all operations. Supports multi-user, multi-role management for operational security. Private LAN deployment with local data storage on the industrial PC — no external cloud dependency, ensuring data security and privacy compliance.

Deployment Options

Standalone

Deploy on the robot's onboard computer, access via LAN browser, ideal for single robot management

Edge Server

Deploy on edge server for unified multi-robot management, suitable for factory-level applications

Cloud

Deploy on public or private cloud for remote access and cross-region management

Core Functions

SLAM Map Management

Enter the map management page via the SLAM mapping card to browse all saved maps in gallery mode. Each map displays a thumbnail, name, and creation time for quick browsing and selection. The system currently stores 34 maps covering various scene environments.

Create New Map

Click 'New Map' to enter the loading phase with progress and status display. SLAM nodes auto-start, and the system transitions to live mapping view after initialization. Drive the robot via controller or remote to scan the environment — maps generate synchronously with real-time display updates.

Autonomous Navigation

Select a target map and click navigate to switch to navigation mode. Set initial position and target points via mouse clicks — the robot auto-plans paths and executes navigation. The expandable sidebar toolbar integrates camera, loop control, PTZ control, keyboard control, obstacle detection, and task start operations.

Remote Monitoring

Access the remote monitoring module via the 'Remote' entry in the bottom Dock bar. The system provides real-time robot camera video feed via RTSP protocol with latency as low as 8ms. Supports fullscreen viewing for remote inspection, environment observation, and obstacle confirmation.

Task Management

Complete task scheduling and history tracking. The system displays all tasks in a table format showing execution status, creation time, completion time, and more. Admins can create new tasks, view execution logs, and manage task queues. Combined with the workflow module for automated multi-step task execution.

Node & Mode Management

Core system operations management via the right-side drawer panel. View running ROS nodes (bringup, rtsp, sefe) and available but inactive functional nodes (navigation, slam_map, gps_nav, tf_web). Each node shows a status indicator with one-click start/stop. Admins can pre-define mode combinations for different work scenarios with automatic node management on mode switch.

Communication Settings

Manages ROS Topic message configurations between the system and robot. Lists all configured topic names, message types, and descriptions. After deploying new robots or replacing sensors, admins can adjust topic name mappings to keep system configuration aligned with actual robot topics.

System Configuration

Located under the 'System' page with five sub-tabs: General Config (ROS Master URI, WebSocket port, map storage), Communication Settings (Topic mapping), Launch Management (node commands & parameters), Task Operations (execution strategies & retry mechanisms), and System Info (version, hardware, runtime status).

Hardware Compatibility

Supported Chassis

Compatible with AgileX Scout 2.0/Scout Mini (4WD differential, CAN), Clearpath TurtleBot4 (differential drive, USB/WiFi), extensible to custom chassis via standard ROS interfaces

Sensor Support

Ouster OS1-64U LiDAR (Ethernet), Orbbec Femto Bolt depth camera (USB), WIT HWT9053 IMU (RS485), GPS+RTK positioning (RS232), RTSP network cameras, IQR Pan-Tilt unit (RS485)

Computing Platform

Nvidia AGX Orin 32GB (high-performance SLAM + vision), Intel Xeon IPC 16GB (general deployment, default config), Nvidia Jetson Xavier 16GB (lightweight deployment)

Application Cases

Indoor Inspection Robot

Deploy indoor inspection robots for enterprise parks. Build indoor environment maps via SLAM, set inspection waypoints, and robots autonomously patrol preset routes. Depth cameras and LiDAR enable obstacle detection and avoidance, with remote monitoring providing real-time video feedback.

Outdoor Patrol & Security

GPS/RTK navigation module providing centimeter-level outdoor positioning. Remotely plan patrol routes via the platform — robots autonomously execute all-weather outdoor patrols. PTZ camera integration for 360° video surveillance and recording, ideal for factories, logistics parks, and campus security.

Lab Sample Transport

Command mobile robots for automated sample transport between lab workstations. SLAM mapping accurately reconstructs lab spatial layouts, with navigation algorithms avoiding precision instruments and personnel areas. Integrated with IQR Lab Automation Platform for end-to-end automation from experiment scheduling to sample logistics.

3D Environment Modeling

Use 3D point cloud mapping to drive LiDAR-equipped robots for large-space 3D scanning and environment reconstruction. High-precision point cloud data can be exported for architectural surveying, digital twins, and BIM modeling applications.

Factory Logistics Robot

Complete factory floor map construction and path planning via the control platform for automated material transport between production lines, warehouses, and inspection areas.

ROS Education & Research

Visual ROS teaching platform for universities and research institutions. Students complete mapping, navigation, and sensor data experiments through the graphical interface without complex command-line tools. Six switchable themes make teaching demos more engaging, significantly lowering the ROS learning curve.

Technical Specifications

Architecture	B/S, front-end/back-end separation
ROS Versions	ROS1 Noetic / ROS2 Humble / ROS2 Iron
Operating System	Ubuntu 20.04 / Ubuntu 22.04
Access Method	Web browser (Chrome / Edge / Safari / Firefox)
Video Latency	8ms (RTSP protocol)
Theme Skins	6 built-in themes with one-click switching
Device Communication	ROS Topic (CAN / USB / RS485 / Ethernet)
Recommended RAM	16GB
Minimum Config	4-core CPU / 8GB RAM / 64GB storage

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Core Value

Immersive Experience

Real-time 3D robot model display with at-a-glance status information and game-quality interactive controls

Cross-Platform

Supports both ROS1 and ROS2, compatible with Scout, TurtleBot, and various robot chassis

Zero-Barrier Operation

No ROS programming required — complete mapping, navigation, and node management through the visual interface

Real-Time Remote Monitoring

Ultra-low 8ms latency remote camera feed with real-time video streaming and remote control

Modular Architecture

SLAM mapping, GPS navigation, 3D point cloud, and workflow orchestration — four independently packaged modules, combined on demand

Easy Deployment

One-click deployment, browser access, supports both LAN and remote network environments with local data storage

Product Features

Immersive 3D Visualization Interface

Multi-Mode SLAM Mapping & Navigation

Real-Time Remote Monitoring

ROS1/ROS2 Dual Compatibility

Modular Function Architecture

Six-Theme Visual Switching

Security & Access Control

Core Functions

SLAM Map Management

Create New Map

Autonomous Navigation

Remote Monitoring

Task Management

Node & Mode Management

Communication Settings

System Configuration

Hardware Compatibility

Supported Chassis

Compatible with AgileX Scout 2.0/Scout Mini (4WD differential, CAN), Clearpath TurtleBot4 (differential drive, USB/WiFi), extensible to custom chassis via standard ROS interfaces

Sensor Support

Ouster OS1-64U LiDAR (Ethernet), Orbbec Femto Bolt depth camera (USB), WIT HWT9053 IMU (RS485), GPS+RTK positioning (RS232), RTSP network cameras, IQR Pan-Tilt unit (RS485)

Computing Platform

Nvidia AGX Orin 32GB (high-performance SLAM + vision), Intel Xeon IPC 16GB (general deployment, default config), Nvidia Jetson Xavier 16GB (lightweight deployment)

Application Cases

Indoor Inspection Robot

Outdoor Patrol & Security

Lab Sample Transport

3D Environment Modeling

Factory Logistics Robot

Complete factory floor map construction and path planning via the control platform for automated material transport between production lines, warehouses, and inspection areas.

ROS Education & Research

Technical Specifications

Architecture	B/S, front-end/back-end separation
ROS Versions	ROS1 Noetic / ROS2 Humble / ROS2 Iron
Operating System	Ubuntu 20.04 / Ubuntu 22.04
Access Method	Web browser (Chrome / Edge / Safari / Firefox)
Video Latency	8ms (RTSP protocol)
Theme Skins	6 built-in themes with one-click switching
Device Communication	ROS Topic (CAN / USB / RS485 / Ethernet)
Recommended RAM	16GB
Minimum Config	4-core CPU / 8GB RAM / 64GB storage