Robot model
UPenn GRASP Platform
University of Pennsylvania GRASP Lab robotics research for autonomous systems.
- Manufacturer
- University of Pennsylvania
- Form factor
- other
- Maturity
- research
- Lifecycle
- active
The verified answer
As of Oct 2026, DEPLOY verifies UPenn GRASP Platform, a other by University of Pennsylvania (research). 2 sources back the record.
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Track UPenn GRASP Platform on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Key facts
Robotics and autonomous systems research (primary Penn)
Research infrastructure (primary Penn)
Data & sources
Web sources
2
2 sources backing this record.View all →
Pricing
No verified price is on record for UPenn GRASP Platform. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdSep 6, 2026
Added to the verified registry
Safety record
No incidents on record for UPenn GRASP Platform.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (2)
Common questions
What is UPenn GRASP Platform?
How much does UPenn GRASP Platform cost?
Is UPenn GRASP Platform actually deployed in the real world?
Who makes UPenn GRASP Platform?
Can you buy UPenn GRASP Platform?
What are alternatives to UPenn GRASP Platform?
How does UPenn GRASP Platform compare to ASML EUV TwinScan?
Is UPenn GRASP Platform a top other?
What is UPenn GRASP Platform's maturity stage?
Where is UPenn GRASP Platform deployed?
Is UPenn GRASP Platform safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-09-29
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-09-29
Maturity + lifecycle
Maturity stage: research
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 2
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for UPenn GRASP Platform.Machine-readable surfaces
- Markdown mirror: /models/upenn-grasp.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/792e7dbe-4677-4479-8568-cd5eb5ec0d40
- Revision history: /models/upenn-grasp/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place UPenn GRASP Platform against other robots. Reality and attention percentiles publish once the underlying record clears its data floor.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 4, 2026