Air cargo is complex, flight engineers and ground staff spend hours every day planning the many variables that go into shipping material from locale to another. The process is labor intensive and tedious, and one mistake could cause significant problems for the airline and the traveling public. To take the heavy lifting out of the process, a Singapore-based research institution has developed the world’s first prototype of an AI-powered robotic system for air cargo.
“Our goal is to automate the handling of cargo with varying sizes, weights, and material through cutting-edge hardware and intelligent software,” said Dr. Suraj Nair, founder and project lead of SPEEDCARGO. “The hope is that the system will boost the productivity, quality, and security of air cargo handling.”
Using NVIDIA GeForce GTX 1080 Ti GPUs, and a cuDNN-accelerated framework, the research group developed their own software called CARGO MIND, the software generates an optimal packing configuration for cargo, maximizing yield while adhering to aviation safety regulations. It can also perform reverse planning if the pallet must be partially dismantled. Also, it is responsible for the structural build-up of the pallet and for planning the motion trajectories of the robot, which must be collision-free.
“Working with NVIDIA hardware architectures and software APIs has been a driving force towards making SPEEDCARGO technology applicable to real-world scenarios. Through NVIDIA GPU hardware and CUDA, we can achieve real-time performance despite large scale vision and planning challenges,” Nair said. “The affordability of such hardware also enables us to scale broadly.”
Even though the system is still in prototype format, the group hopes to build its first live system in December 2019 at the Singapore Changi Airfreight Terminal.