Understanding of the Artificial Intelligence Robot
Classification of technologies applied to the Artificial Intelligence Robot
Basic structure, mechanism and strength and weakness of the robot
Principle and practice of the sensor modules
Types and characteristics of the actuators(DC Servo Motor, Step Motor, RC Motor)
Image processing experiments using the CCD Image Sensor(Digital Image Processing theory and pattern/color recognition principles and experiments)
Applied experiments using the Intelligent Robot Kit

Features:

10 types of sensors, 3 types of actuator modules and 4 types of application modules essential for the intelligent robot
System structure for seizing the essence of artificial intelligence robots
Enriched examples for the beginning level to an advanced level in the robot class
Easy to mount modules by the clamping device
USB high speed(480Mbps) interface
Extensive learning for the sensors being used in the field of Ubiquitous and Home Network
Image processing practice using USB Camera
Application experiment using MSRDS(Microsoft Robotics Developer Studio)

More products ED

MITSUBISHI MELSEC-Q MODULAR PLC TRAINER ED-4260M

• MITSUBISHI MELSEC-Q PLC programming and execution
• Modularization of the devices essential for PLC I/O commands
• Experiments for basic command and various application program
• Binary data experiments with 4digits digital switch and display unit
• Various types of QCPU can be selected from a basic to hyper performance

MICROWAVE TRAINER ED-3000

• Gunn Oscillator base system
• Directional Coupler & Horn Antenna
• Frequency : 9GHz~11GHz (X-Band)
• Microwave output : 15mV

EMBEDDED BASED HOME NETWORK TRAINER ED-5967

• Home network control in liaison with Embedded PXA 255/270/272/320
• Power line communication and ZigBee modules with Multi Port in use together
• Embedded

FACTORY AUTOMATION TRAINER ED-4031

• Comprehension of basic production automation processes such as transfer, fabrication, classification, inspection and storage
• Convenient wiring and pipe arrangement with a label of each component such as sensors and actuators
• PLC training system function(various types of sequence actions through a change in PLC control program
• Counter/timer function and motor control by PLC or without PLC(electrical method)
• Aluminum profile worktable & control modules for easy mounting

MICROPROCESSOR COMBO ED-4512

• Mountable 5 type of MCU(8051,PIC, Atmega128, Atmega8535, Upd78f0547)
• Practice of various communications such as RS-232 USB and Ethernet
• Practice from basic I/O exercises to sensor application exercises with 5 MCU’s
• Possible of various practice by using of Bread Board and I/O Expansion Port
• Storage of sensor data display and Excel data using UI(LabVIEW)

WOUND-ROTOR INDUCTION MOTOR/ DC GENERATOR MG-5213

• Load characteristics of shunt-wound and compound generators
• Generator’s speed and output by winding type
• Loss and efficiency comparisons by winding type

FUEL CELL TRAINER ED-9741

• Testing of load for maximum four fuel cell at the same time
• Removable type of electrical dissolution and fuel cell from main body
• Monitoring through LabVIEW program

ANALOG LAB UNIT ED-2200

• AF Generator and Frequency Counter(built-in)
• Dual DC Power Supply(5/6V, 9/12/15V)
• Decade Capacitor(2 digits) and Programmable Resistor

MICROPROCESSOR COMBO II ED-4513

• Mountable 5pieces MCU(8051,PIC, ATmega128, ATmega8535, upd78F0547)
• Practice of various communications such as RS-232 USB and Ethernet
• SoC experiments using the default FPGA (EP1C4F324)
• Storage of sensor data display and excel data using UI(LabVIEW)

HYDRAULICS TRAINER ED-7960

• Convenient parts fixation by �one-touch lever’ bases and aluminum profile structure
• Efficient space utilization by mounting parts horizontally/vertically
• 64 hydraulic and electrical/electronic parts plus 20 types of optional components.
• Various hydraulic devices and components for Flexible Manufacturing System