Nesting Strategy to Optimize Packing Volume for Hybrid Robotic Gripper

We developed an optimal nesting strategy to compactly pack items with diverse physical features into a designated workspace (e.g., tote bin, corrugated carton box etc). This strategy requires two inputs: 1) the extracted object information from the depth image processing algorithm and 2) the geometric parameters of the corrugated carton box.
[Published in Advanced Intelligent Systems 2024, 'Hyper-Versatile Gripping: Synergizing Mechanical and Machine Intelligence of a Hybrid Robotic Gripper', doi.org/10.100...]