The PuduBot is an open delivery robot that allows you to deliver food or other goods to your desired destination. It adopts the PuduSLAM algorithm which integrates multi-sensor Lidar and vision camera to achieve four technological advantages of centimeter-level positioning, high-precision map building, autonomous navigation planning, and intelligent obstacle avoidance. PuduBot can overcome complicated indoor scenarios like restaurants and guarantees efficient task execution in a mixed environment.
The PuduBot is an open delivery robot that allows you to deliver food or other goods to your desired destination. It adopts the PuduSLAM algorithm which integrates multi-sensor Lidar and vision camera to achieve four technological advantages of centimeter-level positioning, high-precision map building, autonomous navigation planning, and intelligent obstacle avoidance. PuduBot can overcome complicated indoor scenarios like restaurants and guarantees efficient task execution in a mixed environment.
The Pudu Pudubot 2 is an advanced delivery robot designed for efficient service in restaurants, hotels, and other hospitality settings. Equipped with multiple trays and a high carrying capacity, it can autonomously deliver food, drinks, and other items to customers' tables, reducing the workload on staff. The Pudubot 2 features precise navigation and obstacle avoidance technology, ensuring smooth and safe operation even in busy environments. With its sleek design and customizable user interface, it enhances the customer experience by providing timely and reliable service. The robot is also easy to integrate into existing operations, offering a high-tech solution for improving efficiency and service quality.
PUDU SLAM is a new technology integrated SLAM solution based on Lidar, Camera, UWB, RGBD, IMU, Encoder and multiple sensors. This solution can ensure that the robot performs tasks more efficiently in a mixed environment.
Compared to traditional 2D radar, 3D stereo sensors can quickly stereo model the surrounding environment, which can greatly reduce the probability of security accidents.
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