Complex waste pre-processing not required!

Robotic waste separation does not require complex waste pre-processing. ZRR’s smart software controls the robotic arms that can pick light or heavy objects of various shapes and sizes.

Optimizing the waste sorting process

Even though ZRR does most of the thinking and working for you, there are some things you can do to optimize the robots’ work and throughput.

Recommendations for light pre-processing:
  • Screening: remove fines, clearly oversized objects and 2D material, such as paper and plastic foils that could cover the target fractions.
  • Distribute the material evenly on the sorting belt to optimize throughput.

In order to maximize recovery, ZRR can control the rate of the material feed. Maximum throughput (t/h) depends on the density of the input material.

Switch the sorting task on the go!

Currently our customers use ZRR to sort metals, different grades of wood, various grades of minerals, rigid plastics and cardboard. Due to its learning ability, you can also train ZRR to sort specific objects such as tubes and pipes or even plastic bags. The sorting capabilities can be redefined for every new market situation – even on a daily basis.

ZenRobotics Recycler is equipped with an easy-to-use user interface. You can easily control sorted fractions, purity and throughput and react to changes in the waste stream. Also, the User Interface allows you to select an operation mode to maximize the throughput, minimize the reject or even let ZRR choose the most profitable mode.


Training your ZRR – it’s a learning computer!

ZenRobotics Recycler is always ready to learn new tricks. You can easily train ZRR to introduce a new fraction for sorting, improve the sorting quality of a fraction, or divide an existing fraction into new sub-fractions. When you train the system, you always stay in full control of what is sorted.

Training works simply by showing ZRR samples of what to sort. During a training run, place typical sample objects of desired fractions on the sorting belt. Then run them through ZRR. Training is quick as the system learns on the spot.