Robot Bin Packing Benchmark
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Benchmark Setting Image

Setting 1：Ideal Conditions

Without considering physical simulation or robot motion trajectory planning, we only consider the optimal performance of the algorithm, which we call ideal conditions.

We use the data transmitted in time series in real industrial scenarios as test data. The data is organized into a series of continuous time series data starting from a randomly selected starting point.

Setting 2：Physical Simulation Condition

Considering physical simulation, but not considering the robot motion trajectory planning, we get the performance of the algorithm under real physical simulation. The performance of the algorithm varies with the stability of the position selection, which we call physical simulation condition.

We use the data transmitted in time series in real industrial scenarios as test data. The data is organized into a series of continuous time series data starting from a randomly selected starting point.

Setting 3：Robot Path Planning Condition

Considering physical simulation and robot motion trajectory planning, we introduce a robot to grab the box and place it at the target location to obtain the actual performance of the algorithm in a real industrial environment. The performance of the algorithm varies depending on the actual accessibility of the location selection, which we call the robot path planning condition.

We use the data transmitted in time series in real industrial scenarios as test data. The data is organized into a series of continuous time series data starting from a randomly selected starting point.