The increasingly growing role of automation in logistics has highlighted the need for flexible solutions to be employed in industrial warehouses. To this end, we have developed adaptive planning strategies that, exploiting multi-purpose collaborative robots, can respond to this demand. This problem is tackled under different point of view, spanning from the autonomous repositioning of pallet jacks to the well-known problem of item-sorting and box-filling. With these works, we demonstrate how the same machine used for many other purposes, can be reused for standard tasks where usually ad-hoc machines are employed. This is an essential requirement especially for Small and Medium-sized Enterprises (SMEs), since they may not be able to afford multiple single-purpose, costly machines. On the other hand, they can exploit the flexibility of a multi-purpose machine, relieving the cost burden.
P. Balatti, F. Fusaro, N. Villa, E. Lamon, and A. Ajoudani, “A Collaborative Robotic Approach to Autonomous Pallet Jack Transportation and Positioning”, IEEE Access, 2020. Paper - Video
P. Balatti, M. Leonori, and A. Ajoudani, "A Flexible and Collaborative Approach to Robotic Box-Filling and Item Sorting”, Robotics and Autonomous Systems (RAS), 2021. Paper - Video
J. Liu, P. Balatti, K. Ellis, D. Hadjivelichkov, D. Stoyanov, A. Ajoudani, and D. Kanoulas, "Garbage Collection and Sorting with a Mobile Manipulator using Deep Learning and Whole-Body Control", IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids), 2021. Paper - Video