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Robot with 58mm Omnidirectional Wheel & Smart Car Chassis Kit

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SKU TPX00010 Barcode 110090268 Show more
Original price €0
Original price €125,03 - Original price €125,03
Original price
Current price €125,03
€125,03 - €125,03
Current price €125,03
VAT included

Mobile robot chassis with Omni wheels that you can use for building your roobotic project. 

Overview

The three-wheel drive omnidirectional wheel platform uses omnidirectional wheel technology for omnidirectional motion. It includes vertical and lateral movements.
The main part of the car consists of three motors and three omnidirectional wheels. The motor adopts photoelectrically encoded DC geared motor with high precision.
A two-layer triangular platform that frees up the number of layers to provide more space, such as controllers, sensors, cameras, and other electronic devices.
Suitable for users DIY, very good Omni omnidirectional wheeled car learning chassis! It is also suitable for the development and application of robots in businesses and schools.


With this omnidirectional wheel platform you can design and make indoor mobile robots, you can use ROS robot operating system to learn, use motor encoder for positional closed loop, use high-precision gyroscope and laser radar or camera, realize robot by SLAM algorithm.
With your favourite Arduino development board you can develop and start designing your own robot with autonomous navigation!

 


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Controlling a power strip with a keyword spotting model and the Nicla Voice
Controlling a power strip with a keyword spotting model and the Nicla Voice
November 24, 2023

As Jallson Suryo discusses in his project, adding voice controls to our appliances typically involves an internet connection and a smart assistant device such as Amazon Alexa or Google Assistant. This means extra latency, security concerns, and increased expenses due to the additional hardware and bandwidth requirements. This is why he created a prototype based on an Arduino Nicla Voice that can provide power for up to four outlets using just a voice command. Suryo gathered a dataset by repeating the words “one," “two," “three," “four," “on," and “off” into his phone and then uploaded the recordings to an Edge Impulse project. From here, he split the files into individual words before rebalancing his dataset to ensure each label was equally represented. The classifier model was trained for keyword spotting and used Syntiant NDP120-optimal settings for voice to yield an accuracy of around 80%. Apart from the Nicla Voice, Suryo incorporated a Pro Micro board to handle switching the bank of relays on or off. When the Nicla Voice detects the relay number, such as “one” or “three," it then waits until the follow-up “on” or “off” keyword is detected. With both the number and state now known, it sends an I2C transmission to the accompanying Pro Micro which decodes the command and switches the correct relay. To see more about this voice-controlled power strip, be sure to check out Suryo’s Edge Impulse tutorial.

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