Human-Inspired Context-Selective Multimodal Memory for Social Robots explores Develops a human-inspired multimodal memory system for social robots to enable personalized, context-aware interactions.. Commercial viability score: 7/10 in Robotics Memory Systems.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Freshness
Canonical route: /paper/human-inspired-context-selective-multimodal-memory-for-social-robots
Verification is still converging across references, source coverage, and proof checks.
Proof Quality
One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.
Commercialization rails stay hidden until proof clears: proof_status, references_count.
Search indexing stays off until proof clears: proof_status, references_count.
Agent Handoff
Canonical ID human-inspired-context-selective-multimodal-memory-for-social-robots | Route /paper/human-inspired-context-selective-multimodal-memory-for-social-robots
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/human-inspired-context-selective-multimodal-memory-for-social-robotsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12081"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Human-Inspired Context-Selective Multimodal Memory for Social Robots",
"normalized_query": "2604.12081",
"route": "/paper/human-inspired-context-selective-multimodal-memory-for-social-robots",
"paper_ref": "human-inspired-context-selective-multimodal-memory-for-social-robots",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
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