The Touch™ is a mid-range, professional haptic device used in research, 3D modeling, OEM applications, and more.

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Touch is a motorized device that applies force feedback on the users' hand, allowing them to feel virtual objects and producing true-to-life touch sensations as users manipulate on-screen 3D objects. Leading companies integrate Touch haptic devices into their work to achieve compelling solutions using the realistic sense of touch. 

You can use Touch haptic devices in diverse applications including simulation, training, skills assessment, rehearsal, virtual assembly, robotic control, collision detection, machine interface design, rehabilitation, mapping, and more.

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When used with the OpenHaptics developer software toolkit, the Touch allows developers to design and deploy haptic programs rapidly, do mash-ups into existing applications, try out new ideas, and create haptically enabled products.

With original Jetson Nano open-source ecosystem, myCobot 280 Jetson Nano provides abundant interfaces for secondary developments, Python drive library and built-in ROS environment, which simplify and fasten your developing.

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Based on myBlockly and Python, myCobot blazes a new path of Artificial Intelligence, and enriches your robotics knowledge in the long term.

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MyCobot 320 Pi uses a Raspberry Pi microprocessor and embedded RoboFlow visual programming software. It is a machine "assistant" developed by Elephant Robotics for makers and researchers.

The myCobot 320 Pi has a weight of 3kg, a load of 1kg, and a working radius of 320mm. The volume is relatively small but powerful. It is easy to operate, can work in collaboration with people, and work safely. It has three advantages: ease of use, safety, and economy, and it is a cost-effective choice.

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High configuration, powerful performance

• The use of brushless DC servos can achieve a repeat positioning accuracy of ±0.5mm.

• The base and the end are equipped with installation interfaces, which are suitable for the development of various peripheral products and equipment.

• myAGV is jointly developed by Elephant Robotics and Huawei and produced independently. The manipulator uses mycobot and loads camera Eye-in-Hand design. myAGV adopts Mecanum wheel + lidar + high-precision camera. Control mode: autonomous navigation, handle control, keyboard control, etc.

• 🍓1. This Raspberry pi 4 kit(advanced version) comes with a raspberry pi 4(8GB) and could compatible with raspberry pi 3 b+, raspberry pi 3, and more versions. If you have a raspberry pi 3 model b+/raspberry pi 3, you can also use your own Raspberry pi with this kit. Notice: A Raspberry Pi 3 connector is included in the package

• 🍓2. The raspberry pi 4 kit with camera specially designed for those passionate about stem education Crowpi raspberry pi 4 kit can help you learn all the knowledge of how to get started using Raspberry Pi by doing hands-on projects.

• 🍓3. All-in-one Raspberry Pi kit with the inbuilt sensors buttons and output devices all pre-wired in one package.

• ​🍓4. Plenty of sensors in one raspberry pi 4 kit package. The crowpi stem education device is jam-packed with lots of buttons LED feedback devices such as LED Matrix a seven segment Display and 19 different sensors in a tidy easy to use Package You don't have to wait and wire things

This new stereo camera combines advanced depth sensing with AI, letting you build cutting-edge spatial intelligence and virtually replicate the physical world.

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AI-powered Depth Sensing.

An all-new lightweight neural network for stereo matching brings stereo depth sensing to the next level, with a wide 110° x 70° FOV.

Ultra-Wide Field of View with Low Distortion.

Using an 8-element lens with optically corrected distortion and a wider ƒ/1.8 aperture, the ZED 2's field of view extends to 120° and captures 40% more light.

The Most Complete Sensor Stack

Featuring next-generation IMU, barometer, magnetometer and temperature sensors. Factory calibrated on 6-axis with robotic arms.

• Philips LFH2320 USB Foot Control, with 3 Pedals- The ergonomic design of the Philips Foot Control range sets new standards in terms of usability in the professional dictation arena.
   

Key Features

• 3 pedal design (Fast Rewind, Fast Forward and Playback)

• Slim design for minimized physical strain

• For digital systems

• Plug & Play design

• Anti-slip bottom

• USB plug

MyCobot-Pi six-axis collaborative robot is a multi-functional and lightweight intelligent robotic arm designed & developed by Elephant Robotics. It adopts a Raspberry Pi microprocessor. It is one of Elephant Robotics’ core robots for the robot and artificial intelligence education ecology， It is used for artificial intelligence education and robotics research, as well as the electric ecology of small entrepreneurs.

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The net weight of myCobot-Pi is 850g, the payload is 250g, and the working range is 280mm. This is a compact but powerful collaborative robot. It has rich software and hardware interaction methods and diversified compatible expansion interfaces. The open-source robotic arm supports multi-platform secondary development, effectively helping users realize multi-scenario application development.

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Oculus Quest 2 (rebranded as Meta Quest 2 in November 2021) is a virtual reality (VR) headset developed by Facebook Reality Labs (formerly Oculus). It is the successor to the company's previous headset, the Oculus Quest. The Quest 2 was officially unveiled on September 16, 2020, during Facebook Connect 7.

As with its predecessor, the Quest 2 is capable of running as both a standalone headset with an internal, Android-based operating system, and with Oculus-compatible VR software running on a desktop computer when connected over USB or Wi-Fi. It is a refresh of the original Oculus Quest with a similar design, but with a lighter weight, updated internal specifications, a display with a higher refresh rate and per-eye resolution, and updated Oculus Touch controllers.

• myCobot artificial intelligence kit is an entry-level artificial intelligence suite integrating vision, positioning and grabbing, and automatic sorting modules. Based on the Linux system, build a 1:1 simulation model in ROS, which can realize the control of the robotic arm through the development of software. It is simple and easy to learn. It can quickly learn the basics of artificial intelligence, inspire innovative thinking, and comprehend the open-source creative culture.

• The suit has good scalability and high openness and can be used for multiple purposes. It is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory, or personal learning and use.

The depth camera D435i is part of the Intel® RealSense™ D400 series of cameras, a lineup that takes Intel’s latest depth‑sensing hardware and software and packages them into easy‑to‑integrate  products. Perfect for developers, makers, and innovators looking to bring depth sensing to devices, Intel® RealSense™ D400 series cameras offer simple out‑of‑the‑box integration and enable a whole new generation of intelligent vision‑equipped solutions.

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• Fully Assembled Realistic little Robot Dog with lots of fun plays: Bittle is the world's first palm-sized, servo-activated bionic robotic dog with 1 hour of play time. Have your very own programmable robot pet navigate with life-like movements and perform tricks with the remote control or the mobile app.

• Coding / STEAM / STEM / Robotics Learning: build and program your Bittle to perform new skills and tricks whilst harnessing all aspects of STEM learning. Begin with Scratch block-based coding and advance with Arduino IDE and C++/Python. Develop your moto, physics, engineering skills & problem solving abilities.

• Program AI tasks: program Bittle to see, listen, sense the surrounding environment and navigate the world with the optional intelligent camera module or other Arduino/Raspberry Pi compatible sensors

• Open Source robot: Bittle operates on OpenCat, an open-source quadruped robot platform published on Github that fuses multiple gadgets into one organic system, offering endless programming and customisation possibilities.

• COMPLETE STARTER KIT: This is a starter kit for learning electronics, programming, IoT, and home automation. Based on the Arduino mega2560.

• APP CONTROL FEATURES:Use OSOYOO IoT APP to remotely control devices.please download it by searching 'OSOYOO iot udp robot car app' from Apple Store or Google Play Store(Android device).

• INCLUDES EVERYTHING YOU NEED: Includes Everything You Need To Build & Engineer Your IoT Home Kit: Wooden House Model, OSOYOO MEGA2560 Board, MEGA IoT Extension Board with an ESP12s wi-fi module, and various home automation devices: RFID, Flame Detection Modules,LED, Temperature & Humidity, PIR Motion Ultrasonic, Micro Servo Motor, 1602 I2C LCD Module, Button Modules, RGB Photosensitive, Buzzer, PnP Jumpers, Cables, & More.

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• Tobii, the global leader in eye tracking, today released its new cutting-edge PC gaming peripheral, the Tobii Eye Tracker 5. Engineered for gaming, the new eye tracker brings enhanced speed and responsiveness, more robust head tracking, and a new universal mount to fit a variety of screen types

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   New to Tobii Eye Tracker 5:

• Enhanced responsiveness: the custom-built optical sensor of the Tobii Eye Tracker 5 brings improved speed and responsiveness with minimal latency. Together with a broad field of view, it is designed to seamlessly capture your every move. This is a key parameter within esports games, such as League of Legends, where even milliseconds count.

• More robust head tracking: a new algorithm for head tracking has been implemented to capture head movements more precisely. The enhanced precision will be particularly useful in simulation games, such as Euro Truck Simulator.

• A new flex mount: Tobii Eye Tracker 5 is equipped with a new angled mount that is designed to be universal and adaptable, making it easy to connect the eye tracker to built-in screens, curved screens, and screens of various sizes.