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piCLASSIC™ Neo vs SZGH-1820-A

Side-by-side comparison of piCLASSIC™ Neo (Piab) and SZGH-1820-A (Shenzhen Guanhong Automation Co., Ltd.) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.

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Optimized for Cleaning & Facilities buyers. Priority specs lifted to the top and marked with a target.

piCLASSIC™ NeopiCLASSIC™ NeocobotPiab
Trust Score
SZGH-1820-ASZGH-1820-AcobotShenzhen Guanhong Automation Co., Ltd.
Trust Score
Layer 1: Identity & Trust
Manufacturer Country (values differ)China
Year First Available (values differ)2025
Verified Deployments0 Deployments0 Deployments
Layer 2: Operational
Price Range (USD) (values differ)Contact for quote$1,999–$12,688
Availability StatusACTIVEACTIVE
Layer 3: Category Specific
Arm Mechanics
Max TCP Speed (priority for Cleaning & Facilities buyers) (values differ)4 m/s
Degrees of Freedom (values differ)6
Repeatability (values differ)±0.05 mm
Mounting Options (values differ)flush mounting, direct mount, End-of-Arm-Tooling
Safety
Safety Rating (values differ)CECE
Duty Cycle (values differ)24 7 continuous
Ease of Use
No-Code Capable (values differ)Yes
Programming Interface (values differ)teach_pendant
End-Effector
Tool Changer Support (values differ)manual
Integrated F/T Sensor (values differ)Yes
Wrist Power Supply (values differ)compressed air
Software & Connectivity
ROS Compatible (values differ)No
Digital Twin Support (values differ)Yes
Commercial
Price (USD) (values differ)Contact for quote$1,999–$12,688

Insufficient data for full comparison

The following fields had no data for any of the selected robots: Battery / Shift Runtime, Payload, Reach, Robot Weight, IP Rating, Force/Torque Sensing, TCP Speed (Collaborative), Power/Force Limiting, Safety I/O Pairs, Setup Time, Time to Redeploy, Offline Programming, Tool Flange Standard, SDK Languages, Fieldbus Protocols, MTBF, Path Accuracy, CaaS / Month, Warranty, Lead Time

best in categoryweakest in categoryvalues differ

About this comparison

piCLASSIC™ Neo vs SZGH-1820-A compares two robots in the cobot category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robolist Trust Score is calculated.