An S3LAM and NFPFLU-RESNET50-based adaptive motion planning of order picking and placing using robotics industry automation

Key Points

• The aim is to develop an adaptive motion planning system for order picking and placing in robotic applications.
• Utilized S3LAM and NFPFLU-RESNET50 algorithms for action planning.
• Conducted tests in various operational scenarios to assess system performance.
• Analyzed efficiency metrics related to order picking and placement tasks.
• Increased order picking speed by 20% compared to standard methods.
• Achieved a 15% improvement in energy efficiency during operations.
• Reduced placement errors by 10% with adaptive motion planning.

Abstract