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January 1, 2026International Journal of Advanced Mechatronic Systems

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

Basava Ramanjaneyulu Gudivaka Rajya Lakshmi Gudivaka Raj Kumar Gudivaka Dinesh Kumar Reddy Basan Sri Harsha Grandhi M. M. Kamruzzaman

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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.

Implication

Explores adaptive motion planning for order picking in robotics automation, suggesting enhanced efficiency.

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Cite This Study

Gudivaka et al. (2026) studied this question.

synapsesocial.com/papers/6a2269c9763171746d548622 https://doi.org/10.1504/ijamechs.2026.10078935

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