Project Description

Collaborative Robot

  • 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

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collaborative robot

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.

  1. Face recognition technology is used to recognize the real face, thus a robot can “watch” the model face and complete painting.
  2. The robot can get the corresponding instructions to finish painting via importing the target painting picture from the background.
  3. 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.

  1. Simple structure and few components with low failure rate,high reliability and less maintenance.
  2. Need less floor space, beneficial for the layout of the production line of users’ workshop
  3. 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.
  4. Low energy consumption,greatly reduce the energy cost.

collaborative robot