As online markets experience rapid growth, the logistics market is expanding as well, along with increased value of labor and importance of work safety. As a result, it has become increasingly difficult to recruit human resources for physical logistics tasks. Although automated robotic systems are replacing expensive human labor, human resources in tasks such as ‘picking’ have been irreplaceable as humans still outperform robots due to the complexity of handling numerous items.

Tomorrow Robotics can offer a lower cost and efficient solution, "TR Piece Picking" to the current problem. Our three core technologies - robust vision technology, smart grippers, and robotic behavior AI – enable robotic systems to pick a variety of small objects with high recognition. Tomorrow Robotics' picking solution is expected to make a significant contribution to areas that are experiencing labor shortages, especially the logistics industry.

Our vision technology accurately recognizes various types and poses of objects. Its distinguishing feature is the recognition of objects beyond specific targets, even with previously unseen data. Moreover, its capability of integrating fast adaptive learning even with a relatively small amount of data enables rapid and continuous performance improvement. 

The smart-gripper consists a combination of suction and finger-based methods. The suction-based gripper allows rapid picking and transportation of small objects, while the finger-based gripper picks ones that the former cannot grip. This approach optimizes the handling of diverse object shapes during picking and transporting.

Our robots can learn optimal paths and higher-level strategies for interacting with the environment through reinforcement learning. This allows the device to swiftly adapt to new environments and effectively cope with unforeseen circumstances.