Automatic Stair Climber Robot

Applications: It is suitable for moving heavy and expensive commercial equipment, such as vending machines and photocopiers. The heavy-duty stair climbing dolly CT420 has a capacity of up to 420 KG, allowing you to transport cargo upstairs and downstairs by a single person. It can easily keep balance when climbing by automatically adjusting the cargo’s gravity center, and it can also move easily on flat ground with its flat ground mode, which makes moving safer and easier. More info

Stair Climbing Trolley

Our Stair Climbing Trolley is an automatic stair-climbing trolley that loads up to 420 kg of cargo on stairs. It is the premium version of XSTO CT420, equipped with an independent non-marking and non-slipping crawler track; it can maneuver in narrow stair corners and easy movement on flat surfaces and stairs, both indoors and outdoors. More info

Pick-and-Drop Robot

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

A Companion Bionic Pet Cat

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

Robotic Hand with Python Programming

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.