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Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM

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Shenzhen Wellwit Robotics Co., Ltd.

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Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM

Operating Speed(Full Load) : 1 M/S

Model NO. : W1000DL

Battery Capacity : 40 Ah

Communication : WiFi

Navigation : Lidar Slam

Payload : 1000 Kg

Origin : Shenzhen

Positioning Accuracy : ±5 mm

Battery Endurance : ≥8 H

Condition : New

Operating Speed(No Load) : 1.7 M/S

Warranty : One Year

Charging Time : ≤1.5 H

After-sales Service : One Year

Trademark : Wellwit

MOQ : 1 Unit

Specification : 1300*800*290 mm

Price : US $24,000 / Unit

Jacking Height : 60 mm

Battery Type : Lithium Iron Phosphate Battery

Charging Mode : Automatic/ Offline Charging/ Quick Change

Certification : ISO, CE

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Basic specification	Specification Parameter	Parameter Description
	Model	W1000DL
	Rated load (kg)	1000KG
	Self weight (kg)	280KG
	Positioning accuracy (mm)	± 5mm
	Jacking height (mm)	60mm
	Dimension (L * w * h) mm	1300 * 800 * 290mm (anti-collision strip excluded) 1330 * 830 * 290mm (anti-collision strip included)
	Navigation mode	LiDAR SLAM navigation
Moving performance	Driving mode	Double wheel differential drive
	No-load Operating speed	1.7m/s
	Full-load Operating speed	1m/s
	Battery capacity	40AH
	Battery type	Lithium ion phosphate 48V
	Battery life	1500 cycles, capacity ≥ 80%
	Endurance time	≥ 8h
	Charging time	≤1.5h
	Charging mode (optional)	Automatic/manual/Quick-change batteries (appropriate charger required)
Safety protection	Anti collision mode	LiDAR obstacle avoidance
	Anti collision mode	Front and rear crash strips to avoid obstacles
	Emergency stop	Front and rear emergency stop buttons
	Communication	WiFi

Note:

1. W1000DL latent Lifting AGV is a LiDAR SLAM navigation and moving robot independently developed by Wellwit Robotics.
2. Product support flexible customization: meet the customer's function expansion according to the customer's request, make the product operation more flexible and better meet the needs of customers.
3. Equipped with LiDAR SLAM, easy deployment, flexible route and flexible obstacle avoidance.
4. The carrying capacity is 1000kg, and most of the goods can be handled and transported by lifting and rotating.
5. The product runs stably and efficiently with a max unloading running speed of 1.7 m/s.
6. Intelligent power management: preset multi-level power threshold, and charge autonomously below the threshold.
7. The maximum battery capacity of the product can meet 40Ah, and the battery configuration and design with large capacity can improve the endurance of the product.
8. The product is equipped with LiDAR SLAM navigation, and the navigation accuracy can reach ±5 mm.
9. Cluster scheduling, in the robot control system, you can view the working status, electricity, location and other information of all robots at the same time.
Dispatch and manage all equipment through the system.

10. Equipped with LiDAR to avoid obstacles, anti-collision strip, front an rear emergency stop buttons to protect equipment and goods safety.

Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM

Shenzhen WellWit Robotics Co., Ltd was established in Shenzhen in March 2015, our company focuses on research and development of mobile robot. The R&D team consists of members who experienced in field of robot, embedded hardware, software, algorithms, artificial intelligence, etc.
Currently, products for sale including moving robot, sorting robot, Auto-forklift, etc. Navigation method we provide including QR code navigation, LiDAR SLAM navigation, Visual SLAM Navigation, RTK navigation.
We focus on providing custom logistic robots for the integrators who focus on Intelligent Logistics and Intelligent Factory, and provide AGV&AMR with ODM/OEM service for global clients.

Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM

Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM

Under Drive Agv 1000kg Automatic Jacking Platform for Material Handling OEM ODM Images

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