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KEYESTUDIO Mini Tank Robot Kit for Arduino

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Here is another robot kit for Arduino that can teach you a thing or two about STEM concepts. The KEYESTUDIO Mini Tank Robot Kit comes with IR and app control. It can follow light and avoid obstacles. It has a 8×16 LED interface. This programmable robot is ready for Arduino IDE. It works with iOS and Android devices.

You will need 2 x 18650 batteries to power this robot. This kit comes with tracks, 2 motors, an ultrasonic module, a Bluetooth module, and everything you need to get started.

[where to get it]

Ameca Humanoid Robot AI Platform

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Meet the Ameca robot: a humanoid AI robot designed for interaction with humans. It has a modular, upgradable design. It is ready to be used for testing AI and machine learning modules. The hardware is based on Mesmer technology.

Ameca Humanoid Robot AI Platform

This robot has modules that run independently. It can display natural motion and facial expressions. It is cloud connected.

[HT]

Flexiv Rizon 4 7DOF Force-Controlled Adaptive Robot

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Meet the Flexiv Rizon 4: a 7DOF force controlled adaptive robot that has achieved CE and ETL approval. Enhanced by AI, this robot can take on surface treatment, manipulation, assembly, and mobile operation. It is ideal for consumer electronics, automotive, and medical sectors. As the company explains, the Rizon 4 has qualified for:

18 safety functions which met EN ISO 13849 PLd functional safety requirement. […] it also became the first robotic arm to pass the ISO/TS 15066 collision test at the ‘elbow’ and ‘wrist’ joints.

 

Hiwonder WonderCam AI Vision Camera for Robots

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Meet the Hiwonder WonderCam: an AI vision module with 8 functions that takes your robots to the next level. It is designed to work with the Microbot robot car. It is powered by a Kendryte K210 chip RISC-V Dual Core 64bit processor and supports micro:bit, Raspberry Pi, ESP32, and Arduino.

This camera can handle tag, color, landmark, number, and facial recognition. It has a 1-click training feature. It has a 2″ IPS screen with 320 x 240p resolution. This camera is ready for LEGO.

[where to get it]

BOSON Earthquake Simulator Robot Kit [micro:bit]

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Here is another micro:bit robot kit that can teach you a thing or two about science and coding. The BOSON Smart Science Kit – Earthquake Challenge comes with everything you need to study how to build earthquake proof buildings.

Build & Test Earthquake Buildings | STEM Projects

This kit comes with a mainboard, motor controller module, rotation sensor, and everything you need to get started. It can be programmed via drag & drop.

[HT]

Vrillo J050 Robot Vacuum & Mop with Alexa Support

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Here is another smart robot vacuum and mop that keeps your floors clean. The Vrillo Robot Vacuum & Mop has 2200Pa of suction power. It uses up to 32 sensors to perceive its surroundings. It has 3 adjustable levels of suction power, a 600ml dustbin and 400ml water tank.

GOSHAWK Autonomous Drone Interceptor

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Here is another autonomous system that can take on rogue drones. The GOSHAWK UAS Interceptor is an autonomous drone that can intercept unauthorized drones while in-flight. It has target detection, track, lock, and catch functions.

Waveshare Jetank AI Mobile Robot with Jetson Nano

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Here is another NVIDIA Jetson Nano driven AI robot that helps take your coding game to the next level. The Waveshare Jetank robot has a quad core Cortex-A57 CPU and 128-core Maxwell GPU. It supports various AI frameworks, including TensorFlow, PyTorch, and MXNet.

The Jetank comes with a 4-DOF robotic arm. It can be programmed to follow moving objects with motion detection. This robot is ready for JupyterLab.

[where to get it]

Jueying X20 Quadruped Robot Obstacle Crossing Test

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Remember the Jueying X20? It is a waterproof quadruped robot from Deep Robotics that can overcome obstacles up to 18cm. It has max load capacity of 40kg. This video shows how the robot can negotiate uneven terrain and obstacles.

i.C. Hexapod Face Tracking Robot

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Meet the i.C. Hexapod: an interactive robot that can track your face. Matt Denton built it in 2006. It was an early attempt in using machine vision with OpenCV library to build smarter robots. The head has a pan & tilt mechanism and a camera that sends a feed to a computer for image analysis.

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