AI is poised to automate today's most mundane manual warehouse task

After much trial and error, Jacobi's founders, including roboticist Ken Goldberg, say they've cracked it. Their software, built upon research from a paper they published in Science Robotics in 2020, is designed to work with the four leading makers of robotic palletizing arms. It uses deep learning to generate a "first draft" of how an arm might move an item onto the pallet. Then it uses more traditional robotics methods, like optimization, to check whether the movement can be done safely and without glitches. Jacobi aims to replace the legacy methods customers are currently using to train their bots.