Side-by-side comparison of SZGH-i5 Collaborative Robot Arm (Shenzhen Guanhong Automation Co., Ltd.) and Ti5 EBLM 氢星系列 协作机器人 (钛虎机器人科技) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
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Manufacturer Country
Verified Deployments
Availability Status
Degrees of Freedom
Repeatability
Mounting Options
Safety Rating
Programming Interface
SDK Languages
ROS Compatible
Warranty
Lead Time
| SZGH-i5 Collaborative Robot ArmcobotShenzhen Guanhong Automation Co., Ltd. 27.9Trust Score | Ti5 EBLM 氢星系列 协作机器人cobot钛虎机器人科技 16.7Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country | CN | CN |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Arm Mechanics | ||
| Degrees of Freedom (values differ) | 6 | — |
| Repeatability (values differ) | ±0.02 mm | — |
| Mounting Options (values differ) | Floor/Ceiling/Wall | — |
| Safety | ||
| Safety Rating (values differ) | CE, TUV, KSc | — |
| Ease of Use | ||
| Programming Interface (values differ) | teach_pendant | code_python, code_ros |
| Software & Connectivity | ||
| SDK Languages (values differ) | — | Python, C++ |
| ROS Compatible (values differ) | — | Yes |
| Commercial | ||
| Warranty (values differ) | 1 yrs | — |
| Lead Time (values differ) | 1 wks | — |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Year First Available, Price Range (USD), Battery / Shift Runtime, Payload, Reach, Max TCP Speed, Robot Weight, IP Rating, Force/Torque Sensing, TCP Speed (Collaborative), Power/Force Limiting, Safety I/O Pairs, Duty Cycle, Setup Time, Time to Redeploy, No-Code Capable, Offline Programming, Tool Flange Standard, Tool Changer Support, Integrated F/T Sensor, Wrist Power Supply, Fieldbus Protocols, Digital Twin Support, MTBF, Path Accuracy, Price (USD), CaaS / Month
SZGH-i5 Collaborative Robot Arm vs Ti5 EBLM 氢星系列 协作机器人 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.