Robot model
Pandar64
The Pandar64 is a high-performance mechanical LiDAR sensor in Hesai's Pandar product line, designed for autonomous vehicles and robotaxis.
- Manufacturer
- Pandar LiDAR
- Form factor
- av
- Maturity
- production
- Lifecycle
- active
Overview
The Pandar64 is a high-performance mechanical LiDAR sensor in Hesai's Pandar product line, designed for autonomous vehicles and robotaxis. It provides 64-channel 3D perception with a 200-meter range.
Verified vs. claimed
- Maturity stage
- production(Full-scale production deployment with repeat customers.)
- Verified deployments
- None on file
- Sources on file
- 1 source, view all
Data & sources
Web sources
1
1 source backing this record.View all →
Pricing
No verified price is on record for Pandar64. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Pandar64 on the deployment map
Where Pandar64 is verified operating. Explore the deployment map by place and type.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 1, 2026
Added to the verified registry
Safety record
No incidents on record for Pandar64.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
- Hesai Technology · https://en.wikipedia.org/wiki/Hesai_Technology
Common questions
What is Pandar64?
How much does Pandar64 cost?
Is Pandar64 actually deployed in the real world?
Who makes Pandar64?
Can you buy Pandar64?
What are alternatives to Pandar64?
How does Pandar64 compare to Waymo Driver (6th gen)?
Is Pandar64 a top av?
What is Pandar64's maturity stage?
Where is Pandar64 deployed?
Is Pandar64 safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-08-01
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-01
Maturity + lifecycle
Maturity stage: production
Lifecycle: active
Architectural position
Cohort: av
Sources by quality tier
- 1
- knowledge-base
- Knowledge base
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Pandar64.Machine-readable surfaces
- Markdown mirror: /models/pandar-64.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/8f8cd36f-c1dd-456c-a432-1799283a1862
- Revision history: /models/pandar-64/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place Pandar64 against AVs. Reality and attention percentiles publish once the underlying record clears its data floor.
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: Aug 2, 2026