I have questions about your solution: I understand that your solution is to use cameras and robotic arms to complete picking at the shelves, similar to the human mode. However, there are two problems with this model. One is that the above-mentioned mechanical structure is relatively complex and the cost is not low; the other is that it causes low efficiency and high failure rate.
It may be more competitive to change this solution to the following form: the mobile robot is only responsible for picking up the boxes (the mechanical structure of the AMR is simplified and the cost is reduced), transporting the boxes to the sorting table, and then using Visual recognition and robotic arms complete the picking (which is currently done in front of the shelves).
Hi @Soulmateany4096, we appreciate your inputs. The previous generation of our technology was exactly what you are suggesting, i.e. a Goods-to-Robot solution with a stationary 6-axis robotic picking arm. You can check out a video of it here: ua-cam.com/video/7aJnR8EKedk/v-deo.html However, we found that by doing the picking directly in-aisle, we can significantly increase efficiency and speed of picking. This means fewer robots are necessary to achieve the same throughput, which results in lower costs (even though the per-robot cost is higher). We also own the entire tech stack and do all our manufacturing in-house, which helps keep costs low. You can check out a full virtual demo of Brightpick Autopicker here: ua-cam.com/video/XWlQWgRfh6c/v-deo.html
I have questions about your solution: I understand that your solution is to use cameras and robotic arms to complete picking at the shelves, similar to the human mode. However, there are two problems with this model. One is that the above-mentioned mechanical structure is relatively complex and the cost is not low; the other is that it causes low efficiency and high failure rate.
It may be more competitive to change this solution to the following form: the mobile robot is only responsible for picking up the boxes (the mechanical structure of the AMR is simplified and the cost is reduced), transporting the boxes to the sorting table, and then using Visual recognition and robotic arms complete the picking (which is currently done in front of the shelves).
Hi @Soulmateany4096, we appreciate your inputs. The previous generation of our technology was exactly what you are suggesting, i.e. a Goods-to-Robot solution with a stationary 6-axis robotic picking arm. You can check out a video of it here: ua-cam.com/video/7aJnR8EKedk/v-deo.html
However, we found that by doing the picking directly in-aisle, we can significantly increase efficiency and speed of picking. This means fewer robots are necessary to achieve the same throughput, which results in lower costs (even though the per-robot cost is higher). We also own the entire tech stack and do all our manufacturing in-house, which helps keep costs low.
You can check out a full virtual demo of Brightpick Autopicker here: ua-cam.com/video/XWlQWgRfh6c/v-deo.html
I'm sorry that I took it for granted and expressed my opinion. Thank you for your explanation.@@brightpickAI
Highly disagree with the solution presented in this video. There are wayyyyyyy better options such as ALPHABOT! A LONG LIVE THE ALPHABOT.