UBTECH Yanshee - humanoid educational robot, 17 degrees of freedom

Humanoid educational robot for STEM education, AI projects, and applied robotics

The UBTECH Yanshee is a compact humanoid educational robot for schools, universities, robotics clubs, and applied research. With bipedal movement, 17 servo-motorized degrees of freedom, a Raspberry Pi computing unit, sensors, and support for Blockly, Python, C/C++, Java, and ROS, it is suitable for hands-on projects involving robotics, programming, AI, and human-robot interaction.

Highlights

• Compact humanoid educational robot with a height of approx. 40 cm
• True bipedal walking, turning, and balancing
• 17 servo-motorized degrees of freedom
• Raspberry Pi computing unit
• Linux and ROS foundation
• Programmable with Blockly, Python, C/C++, and Java
• Integrated 8 MP camera
• Microphone and speaker
• IMU, gyroscope, ultrasonic, and infrared sensors
• Suitable for computer vision, voice control, and autonomous movement
• Multi-jointed arms for grasping, pointing, and gesturing
• Supports projects involving facial recognition, object recognition, line following, and human-robot interaction
• Safety features with an emergency stop button, servo power limitation, and definable movement limits

Benefits / applications

The UBTECH Yanshee is suitable for STEM education, robotics training, university laboratories, research projects, and practical AI applications. Learners can use the real humanoid system to investigate how bipedal locomotion, balance, sensor fusion, object perception, voice interaction, and motion planning work.

Typical applications include programming courses, robotics clubs, AI workshops, computer vision projects, HRI scenarios, autonomous navigation, gait analysis, manipulation tasks, and research into humanoid robotics.

Technical data

Product: UBTECH Yanshee
Product type: Humanoid educational robot
Height: Approx. 40 cm
Degrees of freedom: 17 servo-motorized degrees of freedom
Computing unit: Raspberry Pi
Operating system / software base: Linux, ROS
Programming languages / environments: Blockly, Python, C/C++, Java
Camera: 8 MP camera
Audio: microphone and speaker
Sensors: IMU, gyroscope, ultrasonic sensors, infrared sensors
Movement: bipedal walking, turning, balancing
Arms: multi-jointed arms for grasping, pointing, and gesturing
AI applications: facial recognition, object recognition, voice control, dialog-based assistants, computer vision
Navigation: obstacle detection, basic path planning, marker tracking, line following
Software integration: ROS packages, SDKs, and documented APIs
Safety features: emergency stop button, servo power limitation, definable movement limits
Applications: schools, universities, research, robotics clubs, AI projects, human-robot interaction