Summary of Innovation
• LOCAL SLAM deep learning technology for positioning, perception, and safety.
• Adoption of specialized VNST20 autonomous forklift.
• Easy implementation.
Innovation Statement
• The solution applies 3D local slam technology based on deep learning, which reduces the absolute trajectory error and relative pose error of autonomous forklifts during operation in dynamic environments, improves the positioning accuracy and system robustness, and can still easily cope with large deviations in Trailer Truck parking positions (left and right deviation of the front of the vehicle =500mm, left and right deviation of the rear of the vehicle =±350mm).
• 3D perception technology and servo control technology based VNST20 autonomous forklift adopts a narrow-body design to ensure the placement density of goods in the Trailer Truck, the gap between goods can reach 0mm, and the space utilization rate of the truck can reach up to 95%.
• Functional modular design optimizes the full-chain delivery process from assembly, mapping to debugging, effectively shortening the delivery duration.
Applicability
By leveraging 3D local SLAM technology, sophisticated system optimization algorithms, and modular design, we tackle persistent issues in trailer box loading and unloading, such as low space utilization, prolonged deployment times, and restricted flexibility, facilitating enterprises in promptly attaining and enhancing the automation of goods loading and unloading processes.
| Posted Date | 1/17/24 |
| Contact | Iris Chen |
| Contact Email | iris.chen[at]int.visionnav.com |
| Category | Best New Innovation |