Vision Pption

Leading-edge stereoscopic vision technology enables robots to perceive full 3D space.

Real-time 3D map construction

Obtain the spatial information in the scene through the stereoscopic vision camera, combined with the VSLAM algorithm, build a real-time 3D scene map without re-mapping,

Full light environment adaptation

Self-developed light adaptive technology to enable the robot to work in direct light, dim light, and no light scenes with the same performance

Multi-dimensional fusion technology

Support pure vision or sensor fusion mode under the framework of the self-developed multi-sensor fusion with vision as the main input source, based on different scene operation requirements.

Self-navigation and positioning

Based on visual perception, VSLAM algorithm, path planning algorithm and multi-dimensional fusion technology, the core capabilities of navigation, positioning, map building, path planning and obstacle avoidance are realized.

Visual cognition

Integrate stereoscopic vision technology and deep learning technology to build 3D semantic maps and empower robots with environmental cognition.

Stereoscopic Vision Recognition

Accurately obtain 3D semantic and location information in the scene, based on visual cognition technology, combined with overall feature recognition.

Semantic Map

Build a 3D semantic map combined with visual perception & cognitive technology to provide basic information support for semantic SLAM, intelligent obstacle avoidance, intelligent interaction, intelligent decision-making, etc.

Decision-making Intelligence

Input visual perception & cognitive information into the decision-making engine to empower robots with decision making capabilities in autonomous operations.

Intelligent obstacle avoidance

The semantic information of obstacles enables the robot to make different obstacle avoidance for different obstacles.

Active Safety

Able to determine potential risks and make avoidance strategies in advance based on risk classification during the operation.

Intelligent operation

Adjust the operation strategy independently to optimize the robot's operation performance and efficiency, based on the dynamic operation requirements in the scene.

Decision-making interaction

Accept natural semantic commands from users, design operation strategies independently, and complete personalized interactions.

Natural interaction

The robot offers users a more natural human-robot interaction experience through stereo vision & decision intelligence technology.

Natural command control

The robot realizes specified autonomous operation through natural language commands such as voice, gesture and action.

Robot summoning

Based on natural command control and a 3D semantic map, the robot can be summoned in real time to complete the personalized task of "target area + operation logic".

Intelligent target following

Based on natural command control as well as object recognition and stereo vision technology, the target following is operated, ensuring the tracking stability even in case of target position changes and the temporary loss in the visual field.