We develop and integrate high-definition RGB, stereo, depth, and thermal cameras for visual recognition, object tracking, and scene understanding in dynamic environments.

Using LiDAR (Light Detection and Ranging) and radar systems, we enable accurate distance measurement, 3D mapping, and environmental awareness, essential for autonomous mobility and obstacle avoidance.

These sensors help robots detect nearby objects, ensuring safe navigation, collision prevention, and smooth movement in confined spaces.

IMUs provide real-time orientation, acceleration, and angular velocity data, crucial for balance control and trajectory estimation in mobile robots.

Our tactile sensing technologies give robots the ability to feel and respond to pressure or contact, enabling delicate manipulation in robotic arms and grippers.

We employ sensor fusion algorithms that combine data from multiple sensors to create accurate, noise-free, and reliable environmental models.

Through computer vision, deep learning, and SLAM (Simultaneous Localization and Mapping), our perception systems interpret complex data for decision-making and autonomous control.

For specialized applications, we integrate temperature, humidity, gas, and sound sensors to enhance environmental awareness and adaptive response.