State-of-the-Art in Learning-by-Demonstration with Passive Observation for Industrial Assembly Automation

• URL: http://arxiv.org/abs/2609.07165v1
• Date: Mon, 07 Sep 2026 07:58:44 GMT
• Title: State-of-the-Art in Learning-by-Demonstration with Passive Observation for Industrial Assembly Automation
• Abstract summary: Learning-by-Demonstration (LbD) enables intuitive robot programming by capturing expert skills.<n>This systematic literature review analyzes passive LbD for industrial assembly processes.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Learning-by-Demonstration (LbD) enables intuitive robot programming by capturing expert skills, which is crucial for agility in high-mix, low- volume manufacturing. This systematic literature review analyzes passive LbD for industrial assembly processes, focusing on the perception architecture and the generalization of the perceived demonstration. We specifically investigate one-shot approaches where only a single demonstration is required. The review evaluates how systems adapt to new assemblies using this limited data. We identify a shift towards object-centric perception, allowing learned primitives to be transferred to new product variants with minimal training.

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