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

UBIQUITOUS SENSOR NETWORK TRAINER ED-3160

• The optional Embedded System(ED-255EK) can be linked as a gateway
• ZigBee network can be built using TinyOS, F8WOS
• Capable of control and monitor through Ethernet
• The RFID Card Reader is supplied as a standard shipped component for applied experiments on security, home automation and robot

DC SERVO TRAINER ED-4400B

• Analog feedback loop & DC servo system
• Modularized by the function of servo circuits
• Overload protection for the servo amp's and power supply's output

POWER ELECTRONICS TRAINER ED-2040

• Covers essential circuits needed to practice power electronics circuits
• Modular type with aluminum carrying case
• Optional rack to be customized upon requst

LED LAMP TRAINER ED-9810

• Practice basic method how to operate such as basic peration, Constant voltage, Constant current, serial connection, and arallel connection
• Brightness control, Color control, and lighting
• Simulation for Steady/PWM

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

INVERTER TRAINER ED-4280M

• Aluminum hard case structure for mobility
• Applied experiments on the motor’s rotation characteristics
• AC motor control technology using the inverter
• Interlocking experiments with Programmable Logic Controller

NEW & RENEWABLE ENERGY TRAINER ED-9720

• Conversion experiments on the produced energy(power production/processing)
• Characteristics of Solar Cell module’s voltage and current
• Alarm beep for wrong wire placement
• Voltmeter and ammeter as included for measuring AC and DC
• Control by PC and waveform and graph output

EMBEDDED & DSP DESIGN PLATFORM ED-DAVINCI

• One-stop training kit for embedded system, DSP and FPGA
• 7" Wide TFT LCD, 10/100 Ethernet 1Port, Serial 1Port, SD/MMC, ATA and other interfaces

SCR TRAINER ED-5060

• SCR characteristics
• Rectifier and phase control
• Trigger and gate control
• Motor speed control

HOME NETWORK DESIGN PLATFORM ED-5965

• Designed to help develop network devices on the basis of Lon Protocol
• Control of each device installed in the field through power line communication
• Related experiments through Neuron C and MICOM programming
• Home network control in utilization of LabVIEW