Autonomous delivery systems leverage advanced technologies to navigate, interact with the environment, and execute tasks.

Computer Vision

Sophisticated computer vision systems, comprising cameras and sensors, are installed in autonomous delivery robots. These technologies enable the robot to perceive and interpret its surroundings in real time.

Machine Learning and AI Algorithms

Machine learning and artificial intelligence (AI) algorithms play a crucial role in the autonomy of delivery robots. These algorithms enable the robot to learn from its experiences, adapt to changing environments, and make decisions based on complex data inputs.

Collision Detection and Avoidance Systems

The sensors continuously monitor the environment for potential obstacles, such as pedestrians, vehicles, or static objects. The collision detection system operates continuously throughout the robot’s journey, ensuring ongoing safety.

Simultaneous Localization and Mapping (SLAM)

When a robot enters a new environment, it needs to build a map of that space and locate itself within it. To achieve this, it uses cameras, LiDAR, and odometry sensors to collect data about its surroundings. This data is then processed by SLAM algorithms to create a real-time map of the environment while also estimating the robot’s position within the evolving map.