AutoPallet Robotics uses swarms of hundreds of mobile robots to do case picking in existing warehouses.
Nathan and Eric met at Olin College of Engineering 9 years ago, where they collaborated on over 15 projects.
CEO - Nathan brings four years of experience in machine learning. In his previous position, he worked on robot software and explored heuristic-based and RL-based methods for multi-robot scheduling.
CTO - Eric has extensive experience creating hardware, electronics, and software for modern robotics systems, including five years at Skydio, founding and growing the Autonomy Infrastructure team.
Case picking for order selecting, a critical task in the supply chain for grocery stores, retail, and restaurants, remains largely manual in U.S. warehouses. We estimate that over 30 billion cases are manually moved between pallets annually, resulting in labor costs exceeding $10 billion each year.
Current automation solutions are prohibitively expensive and fall into two main categories:
We've developed a way to retrofit existing warehouse infrastructure with swarms of affordable, agile robots to automate the order-selecting process. This approach eliminates the need to rebuild warehouses from scratch or invest in expensive large mobile robots. We are designing our system to:
We’re actively seeking partnerships and collaborations to propel our mission forward. If you or anyone in your network is interested in exploring opportunities or learning more, we’d love to connect! We’re especially interested in engaging with:
If this resonates with you or someone you know, please don’t hesitate to reach out! connect@autopallet.bot or send us an inquiry