Phoebus P350 OpenAl Industrial-grade Robot Chassis
New-Gen Deep Learning Navigation System | Ultimate Mobility | Maximum Load of 300 KG | Multiple Expansion Modes |
Laser-Vision Integrated Navigation | Flexible Deployment | IOT Connectivity | CE/FCC Certified |
Phoebus P350 OpenAI Industrial-grade Robot Chassis, developed by SLAMTEC, is a compact, scalable industrial delivery robot platform designed for small to medium-sized factories. It delivers high-efficiency, user-friendly, and reliable intelligent automation solutions for industrial material handling, empowering end-users to optimize production workflows, enhance operational efficiency, and achieve intelligent transformation and upgrade.
| 1. Finished Product Delivery | 2. Quality Inspection Delivery | 3. Production Line Delivery | 4. Autonomous Elevator | 5. Assembly Line Delivery |
Open Architecture Platform
Hardware Flexibility:Delivered asastandalone chassis,notlimited to asingleintegrated form factor.Open host computer strucural mounting interfaces and hardware interfaces,providing model drawings and design references to empower users to build customized robot systems tailored to their operational needs.
New Generation Deep Learning Navigation System
A navigation system empowered by deep learning algorithms capable of precise recognition and efficient processing of complex features in long corridors and large-scale environments. When encountering unexpected obstacles during navigation, the system adapts in real-time through continuous learning, enabling rapid response and dynamic local path optimization. It further analyzes the structural topology of extended corridors and expansive spaces to generate globally optimized routing strategies.
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Long Corridor | Complex Environments |
Sensor Configuration
360° Comprehensive Protection Compliant with Industrial Safety Standards
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Mapping LiDAR | Obstacle Avoidance LiDA | 3D Depth-Sensing Camera |
Ultimate Mobility
Excellent Obstacle-crossing Ability
60CM Shelf-Free
Ultimate Mobility
Capable of navigating a 6ocm narrow corridor without shelving
20MM Vertical,40MM Horizontal
Maximum Load of 300KG With a load capacity of up to 300KG， it can meet the production line and material handling requirements of most factories，ensuring that the chassis operates stably even under heavy loads. |
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Multiple Expansion Modes
Standard mode (without lifing the shelf) | Lifting mod | Traction mode (Coming soon) |
Integrated System with Multiple Expansion Modes
Standard mode | Lifting mode | Bin mode | Traction mode(Coming soon) |
Multi-mode Interaction
| Turn signal light During motion steering,the side indicator lights up |
Fault indicator light The indicator light shows different colors & states in case of chassis failure |
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7/24 Non-stop Operation
Automatic recharge Two-hour fast charging
Laser-Vision Integrated Navigation + Flexible Deployment
No need for complex network deployment or environmental modifications, such as deploying magnets, reflectors, QR code landmarks, etc. The environmental map & task points are created can be put into use once they are created.
Traditional Deployment | Flexible Deployment |
1. Deployment Magnet | 2. QR code | 3. Reflective Marker | 4. Autonomous Free-Roaming Navigation |
IOT Connectivity
PC | Mobile Phone | Caller | Turnstile | Elevator |
Recommended scenarios
Intelligent Inspection | Smart Retail Solutions | Mated Material Handling for Production Lines |
Warehouse Management Systems | Hybrid Collaborative Robot | Intelligent Healthcare Robotics |
Dimension and Weight
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Model:P4M11 Weight:105kg Size:780mm*506mm*270mm | Model:P4M21 Weight:90kg Size:780mm*506mm*270mm |
Measurement Performance
| Model | P4M11 | P4M21 | |
| Basic Parameters | Body Dimensions (mm) | 780*506*270 | |
| Self-weight | s105kg | s90kg | |
| MaximumLoad/Lifting Load (KG) | 300 | 300 | |
| Maximum Lifting Height (mm) | 60 | / | |
| Minimum Liting Time (s) | 4 | / | |
| Maximum Speed at Full Load Speed | 1.2m/s | ||
| Navigation-to-Point Accuracy | <±40mm，2° | ||
| End Positioning Accuracy | <±10mm，1° | ||
| Sensor Configuration | Laser Radar | RPLIDAR S3E, range: 0-40m (90% reflection), accuracy: ±3cm | |
Quantity: 2, diagonally placed | |||
| Depth Camera | Quantity: 1; additional: 1 | ||
Depth FOV per unit: H:75±3°; V:51±3°; detection range: 0.3-3.5m | |||
| Front RGB Camera | Optional | ||
| VSLAM Module | Optional | ||
| Low Height/Cliff Detection Radar | 1 | ||
| Industrial Touch Edge | 2 | ||
Performance Parameters | Drive Mode | Dual-wheel differential drive | |
| Navigation Mode | Laser Slam navigation | ||
| Map Resolution | 5cm (default); configurable to 1.5cm | ||
| Maximum Mapping Area per Time (m) | 500*500(5cm resolution | ||
End Positioning Method | Supporting leg positioning (±20mm, ±2°) Positioning wand (±10mm, ±1°) Ground QR code mode (±10mm, ±1°) (not supported for now) Marker positioning (L-shaped, V-shaped, etc.) (±10mm, ±1°) (supports adaptability, accuracy based on actual scenario testing) Reflective strip-assisted positioning (±10mm, ±1°) (supported, accuracy based on actual scenario testing) | ||
| Battery Type | Lithium iron phosphate battery | ||
| Battery Capacity | 30AH 24V | ||
| Battery Life | The capacity drops to 80% of the initial capacity after 2000 complete charge-discharge cycles. | ||
| Charging Mode | Manual/automatic 30~80% 2h | ||
| Operation Time | 12h (Unloaded) | ||
| Charging Time | 30~80% 2h | ||
| Communication Method | 4G/WIFI/LoRa/Bluetooth | ||
