SPEEDCARGO is the world's first AI-powered robotic solution for automatic build-up and break down of aviation cargo pallets. It addresses the non-standardized cargo shipment category which has high variation in cargo shapes, dimensions, materials and weight. Palletization of such cargo is a labour intensive process and is performed manually worldwide. Deployment of SPEEDCARGO optimizes yield, enables a seamless flow of data, increases productivity, and upgrades job profiles needed within the aviation cargo industry.
SPEEDCARGO was developed as part of the second Aviation Challenge and is currently funded by the National Research Foundation (NRF) under the Central GAP Funding for further development towards it's commercialization.
The aviation sector in Singapore is seeing rapid growth. While Singapore strives to become the leader in global aviation, acquiring skilled manpower for daily operations is becoming increasingly challenging. Labour-intensive areas such as ground-handling operations at Changi Airport are especially affected. In particular, the build-up and breakdown of cargo pallets is a highly laborious process. With an aim of automating this process, the Civil Aviation Authority of Singapore (CAAS) setup and funded Aviation Challenge 2.
TUMCREATE was one of the three teams funded to build a proof of concept demonstrator to meet the challenge. Successfully completing the challenge, TUMCREATE built the world's first robot packed pallet in October 2017 within record time achieving a high packing density of 86%.
Manufacturing constitutes a major portion of Singapore’s economy, contributing between 20 to 25% of the GDP. However, the industry faces significant challenges, e.g. increasing labour costs, lack of skilled labour and complexities of high-mix low-volume production. Hence there is a need for Singapore to remain competitive through adopting robotics technologies in the industry.
SERC’s Industrial Robotics Initiative aims to:
Improve the performance and capability of existing robot platforms for productivity improvements and eventual industry adoption; and
Develop the next generation robotics with easy to use interfaces and enhanced performance for skill based operations and flexible manufacturing
This project aims at realising robotic systems that are useful in industrial settings where the environment is unstructured, possess a high degree of uncertainty and predominantly labour intensive. The goal is to improve productivity of the work force and create an effective working environment for human-robot collaboration through the enhancement of intelligence and capability of robotic systems.