Project Description
Collaborative Robot
The most convenient robot
The easiest programming ,no need coding
Support ROS secondary development
Wireless teaching _ Android APP
Entire drag and drop programming
Visual identification
16DI/16DO, 2AI or 2AO
Drag teaching function, simple programming can be completed in one hour.
Repeat positioning accuracy:+0.03mm
Cost effectiveness
Collaborative Robot 3kg, 7kg,12kg
Features
Real time safety detection mode over 100 detection items including collision detection.
Drag teaching function, simple programming can be completed in one hour.
Mobile terminal APP( PDA, mobile phone)
Repeat positioning accuracy:+0.03mm
Rated service life up to 35000 hours
IP54
Cost effectiveness
Cobot Arm Parameters
Degree of freedom: 6
Payload: 3KG, 7kG, 12kG
Repeat positioning accuracy:±0.03mm
Absolute positioning accuracy:±0.3mm
Joint velocity: ±180°/s
Effective working radius: 580mm for 3kg payload,814mm for 7kg payload,1327mm for 12kg payload
Joint range: ±360°
Speed: 1m/s
Weight: 12kg for 3kg payload cobot, 22kg for 7kg payload cobot, 31kg for 12kg payload cobot
Power output: +24V/Ground
Current output:0.6A
2 DI configurable
2 DO configurable
2 AI
TCP/IP, MODBUS TCP/RTU
Graphical programming interface, mobile terminal teaching device
Low noise
IP54 protection class
3kg payload cobot: Min 120W, Rated 200W,Max 1.5kW
7kg payload cobot: Min 120W, Rated 300W,Max 2kW
12kg payload cobot: Min 120W, Rated 450W,Max 2.5kW
Aluminum alloy and ABS plastic material for robot arms
Working Temperature 0~50℃
Power 48VDC
Parameters of the controller
Dimension: 450*330*220mm
Weight: 17.5kg
TCP/IP wireless network, Modbus protocol
support ROS system
Power supply: 100~240VAC,50~60Hz
Protection class: IP20
16 DI/16DO, 2AI or 2AO, Safe I/O(8DI/8DO)
Supply output: 24VDC
Cable connected robot and controller: 6m
Applications
3C industry
Realize handling, dispensing, assembly and other processes in 3C industry. At the same time, it is of high flexibility and high precision, compact structure, which help enterprises to achieve rapid upgrade of production lines.
Face recognition
Face recognition technology is a biometrics technology based on human face feature information for personal identification. ROS is a software platform for robots. It can provide functions similar to operating systems for heterogeneous computer clusters. It is an open source meta-operating system for robots.
- Face recognition technology is used to recognize the real face, thus a robot can “watch” the model face and complete painting.
- The robot can get the corresponding instructions to finish painting via importing the target painting picture from the background.
- The painting time is 2 minutes to several hours subject to the materials conditions and painting speed.
Packaging and stacking
Realize the process of packing and palletizing production line in a small area, which saves labor and space greatly and operates flexibly and accurately,fast and efficiently.
- Simple structure and few components with low failure rate,high reliability and less maintenance.
- Need less floor space, beneficial for the layout of the production line of users’ workshop
- High flexibility. When the size,volume and shape of clients’ products and the pallet change, all setting of modification can be made via the touch screen.
- Low energy consumption,greatly reduce the energy cost.