SOURCE-LINKED INTELLIGENCE
State-of-the-Art in Learning-by-Demonstration with Passive Observation for Industrial Assembly Automation
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 p
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T07:58:44.000Z
First collected: 2026-09-20T20:52:10.320Z. This is not the publication date.