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Moonlight parallel robot vs TM25S

Side-by-side comparison of Moonlight parallel robot (Flexiv Ltd.) and TM25S (Techman Robot Inc. (subsidiary of Quanta Computer)) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.

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Moonlight parallel robotMoonlight parallel robotcobotFlexiv Ltd.
Trust Score
TM25STM25ScobotTechman Robot Inc. (subsidiary of Quanta Computer)
Trust Score
Layer 1: Identity & Trust
Manufacturer Country (values differ)CNTaiwan
Year First Available20162016
Verified Deployments0 Deployments0 Deployments
Layer 2: Operational
Price Range (USD) (values differ)US$32,500US$40,000
Availability StatusACTIVEACTIVE
Layer 3: Category Specific
Arm Mechanics
Payload (values differ)38 kg25 kg
Reach (values differ)1,200 mm1,900 mm
Degrees of Freedom (values differ)36
Repeatability (values differ)±0.05 mm±0.03 mm
Max TCP Speed (values differ)1.5 m/s5.2 m/s
Robot Weight (values differ)7 kg80 kg
Mounting Options (values differ)any
IP Rating (values differ)IP65
Safety
Safety Rating (values differ)EN ISO 13849-1ISO, UL
Force/Torque Sensing (values differ)Yes
Ease of Use
Programming Interface (values differ)no_code_guidrag_and_drop, code_python, code_ros, no_code_gui
Software & Connectivity
Fieldbus Protocols (values differ)Modbus TCP, Ethernet TCP/IP, Profinet, EtherNet/IP
Commercial
Price (USD) (values differ)$32,500$40,000

Insufficient data for full comparison

The following fields had no data for any of the selected robots: Battery / Shift Runtime, 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, SDK Languages, ROS Compatible, Digital Twin Support, MTBF, Path Accuracy, CaaS / Month, Warranty, Lead Time

best in categoryweakest in categoryvalues differ

About this comparison

Moonlight parallel robot vs TM25S 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.