One of the fastest underwater scooters in its class. What makes it distinct is its unconventional “Egg” design. It relies on a single brushless motor for propulsion, but it packs a punch, propelling the scooter to speeds of up to 8.5 km/h or 5.3 mph. More info
A Mobile pick-and-drop robot based on ROS (Robot Operating System) for robotic researchers, developers, educators, students, and hobbyists. Equipped with a built-in ROS Computer, 3 Axis Robot Arm, Soft Gripper, LiDAR, Depth Camera, STM32 Motor/Power/IMU Controller, and metal chassis with omnidirectional Mecanum Wheels, it is ideal for ROS beginners with affordable price, compact design, and ready-to-go-package. Pickerbot Mini is also an ideal robotic research and development prototype platform. Details
Our telepresence robot is based on WebRTC technology, or the customer can use any telecommunication software he likes, such as Skype or Google Hangout. Skype is available by default on many modern TVs, and you can see video from the robot on the big TV screen. More info
ModMi for At Home: Versatile robot system with modular design, sensors, AI, and multiple programming methods for creativity and learning. More info
Robot Dog powered by Raspberry Pi ROS. It is capable of gait planning and adopting linkage kinematics. Possess machine vision and work with OpenCV. Support Gazebo simulation. More Details
As the world’s first fully autonomous bionic pet cat, MarsCat aims to be a home robot, a robotic pet to surprise you. It is fully responsive and has sensitive interactions. It can feel your touch, hear your voice, see your face, and play with toys. Every MarsCat is unique, from its eyes and body to its personality; its personality will change according to how you pet it. With a powerful quad-core Raspberry PI, you can also program it quickly, giving it endless possibilities. MarsCat can also be ideal for education, research, and commerce. More info
Powered by Raspberry Pi 4B 4GB, uHandPi is an AI imaginative vision robotic hand. Equipped with an HD camera, it supports color recognition, face detection, and other functions via OpenCV. In addition to image processing, uHandPi can perform machine learning and train models using TensorFlow and Keras. Furthermore, to enhance the user experience, uHandPi is equipped with a mobile app.
A wireless glove is a somatosensory glove in hand size. It is compatible with the Arduino development environment and includes a built-in lithium battery, Bluetooth 4.0, and a gyroscope acceleration sensor. As signal transmitters of robots, it will redefine various robot games. And the dazzling LEDs make the operation at night even cooler! More info
myCobot is the world’s smallest and lightest six-axis collaborative robot, jointly produced by Elephant Robotics and M5Stack. It is more than a productivity tool full of imagination; it can carry on secondary development according to the demands of users to achieve personalized customization. More info
myCobot-Pi has a net weight of 850g, a payload of 250g, and an operating range of 280mm. It is compact but powerful. It has rich software and hardware interaction methods and diversified compatible expansion interfaces. It supports multi-platform secondary development and effectively helps users to achieve Multi-scene application development. More info
