Overview
The FL-MIKE is an intelligent electric food delivery robot designed for indoor and outdoor commercial use. It features autonomous navigation using SLAM technology, a 70-meter TOF lidar, and multi-sensor fusion for obstacle avoidance. It has a load capacity of 30-50 kg, an 80 kg total weight, and a battery life of over 10 hours. It supports 4G/5G, Bluetooth, and Wi-Fi communication, and includes anti-collision, anti-theft, and automatic charging functions. The robot is marketed for use in restaurants, hotels, campuses, hospitals, and other commercial settings, with claims of zero emissions and reduced labor costs.
Detailed specifications
Power & battery2
- Battery Capacity Ah
- 30
- Battery Capacity Kwh
- 1.08
Sensors3
- Sensor Suite
- lidar,camera,imu
- Lidar Present
- true
- Lidar Range M
- 70
Other36
- Height Cm
- 71.5
- Height Mm
- 715
- Dimensions
- L710*W560*H715mm
- Max Speed Ms
- 2
- Model Number
- FL-MIKE
- Sub Category
- indoor_courier
- Mobility Type
- wheeled
- Runtime Hours
- 10
- Logo Trademark
- FL
- Price Currency
- USD
- Pricing Models
- capex
- Stair Climbing
- none
- Charging Method
- auto_dock
- Cloud Telemetry
- optional
- Company Country
- CN
- Operating System
- Android
- Price On Request
- false
- Country Of Origin
- CN
- Industries Served
- logistics,retail_service,healthcare
- Is Research Grade
- false
- Network Protocols
- wifi_5,5g,bluetooth
- Target Industries
- logistics_3pl,retail_service,healthcare
- Vision Processing
- on_device
- Terrain Capability
- flat_indoor,mild_incline
- Charging Time Hours
- 5
- Deployment Maturity
- production_scale
- Regulatory Approval
- CE
- Primary Applications
- logistics_handling,service_reception
- Operating Environment
- indoor
- Payload Continuous Kg
- 50
- Programming Interface
- proprietary_app
- Additional Information
- - Multilingual voice interaction for handling check-in assistance and navigation queries. - Reported reduction in front desk workload by 40% and increase in guest satisfaction scores by 15%. - Deployed across multiple locations in Mexico City, Mexico, and California, USA.
- Deployment Environment
- both
- Human Detection Method
- generic_obstacle
- Service Network Density
- sparse
- Climbing Ability Degrees
- 15
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