Before leaving the factory, robots will go through a lot of off-line tests and obtain rough operational parameters by systematical identification method. In actual operation, control system will use predictive control and self-adaptive control methods to tweak and optimize parameters on-line based on operation parameter obtained off-line, and adjust controlling demands dynamically, so as to control quickly and precisely.
Most of the forklift robot manufacturers on the market normally identify their product performance of with stopping accuracy. From their point of view, the only way to fork pallets correctly is to raise robot’s stopping accuracy and limit cargo’s placing location, which means to have extra limit mechanism installed to ensure high precision forking accuracy. However, our vision guided forklift don’t follow those ideas. When forking the goods, 2D laser or 3D TOF camera will observe and identify the pallet, and generate the optimal path based on real-time feedback data to self-adapt itself to fork the goods.
1.Quick implementation without extra limiting mechanism.
2.Easy to operate, user-friendly human-machine collaboration.
3.Stable and efficient for smooth operations.