Robot model
Velodyne Puck
Velodyne LiDAR Puck (VLP-16) for autonomous vehicle and robotic perception.
- Manufacturer
- Velodyne LiDAR
- Form factor
- other
- Maturity
- commercial
- Lifecycle
- active
The verified answer
As of Oct 2026, DEPLOY verifies Velodyne Puck, a other by Velodyne LiDAR (commercial). 2 sources back the record.
Deploy Watch
Track Velodyne Puck on Deploy.
We notify you when a verified state change lands on the record, not when the company issues a claim.
Key facts
VLP-16 legacy mid-range LiDAR (primary Ouster)
Legacy Velodyne downloads maintained by Ouster (primary Ouster)
VLP-16 page prints 590 g and 72 x 89 mm
VLP-16 page prints 905 nm Class 1 and IP68 / IP69k
Data & sources
Web sources
2
2 sources backing this record.View all →
Pricing
No verified price is on record for Velodyne Puck. 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 Velodyne Puck.
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 Velodyne Puck?
How much does Velodyne Puck cost?
Is Velodyne Puck actually deployed in the real world?
Who makes Velodyne Puck?
Can you buy Velodyne Puck?
What are alternatives to Velodyne Puck?
How does Velodyne Puck compare to ASML EUV TwinScan?
Is Velodyne Puck a top other?
What is Velodyne Puck's maturity stage?
Where is Velodyne Puck deployed?
Is Velodyne Puck safe?
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-10-03
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-10-03
Maturity + lifecycle
Maturity stage: commercial
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 Velodyne Puck.Machine-readable surfaces
- Markdown mirror: /models/velodyne-puck.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/6546e125-2692-4b87-b397-03d324093918
- Revision history: /models/velodyne-puck/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place Velodyne Puck 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