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NEURA LARA 8 vs NEURA MAiRA M

Specifications as each maker states them, side by side. The (i) beside a value links to its source.

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14 of 30 specs differ across 2 models

SpecNENEURA LARA 8NENEURA MAiRA M
General
Degrees of Freedom67
Maximum Reach1300 mm1400 mm
Repeatability0.02 mm0.01 mm
Payload Capacity8 kg12 kg
Joint Speed180 °/s200 °/s
Mounting Positionanyany
IP RatingIP66IP65
Drive Typeelectricelectric
Controller IncludedYesYes
Arm TypeCollaborative robot (cobot), 6 rotary jointsCognitive collaborative robot (cobot), 7 rotary joints
Base Plate Mounting PatternBolt circle Ø 180 mm (Ø 200 mm base footprint)—
Communication ProtocolsModbus RTU (tool bus), Modbus TCP, EtherNet/IP, USB 3.0 (controller)Modbus RTU (tool bus), Modbus TCP (control box), FSoE (safety)
Connector TypeM12—
Encoder Resolution24 bit—
I/O PortsTool: M12 12-pin A-coded male (IEC 61076-2-101), 24 V max 1500 mA. Controller: 8× GPIO, Modbus TCP, EtherNet/IP, USB 3.0, Safe I/OsTool: M8 8-pin A-coded male (IEC 61076-2-104) — analog input, GPIO, Modbus RTU; 24 V 1.5 A. Control box: GPIO, Modbus TCP
Input Voltage Range100–240 V AC, 50/60 Hz (control box)100–240 V, 50/60 Hz, max. 16 A (control box)
Mounting FlangeDIN ISO 9409-1-50-4-M6DIN ISO 9409-1-50-7-M6
Number of Analog Inputs2—
Number of Digital Inputs3—
Number of Digital Outputs3—
Operating Temperature Range0 °C – 40 °C0 °C – 40 °C
SDKNeuraPy API (Python)NeuraPy Python API (SDK) — robot and sensor data
Safety FunctionsSafe position, speed, torque, limits and I/Os (Safe Master architecture)Safety master and FSoE communication
Weight48 kg53 kg
Integrated Force Sensing—Yes
Peak Payload Capacity—14 kg
Payload Definition (Nominal)—Full workspace
Payload Definition (Peak)—Application-specific smaller workspace at reduced speed
Encoder/Feedback—Dual encoder in each axis
Sensors—3D vision sensor; 3D voice recognition sensor and speaker; 6-DoF force/torque sensor in flange (optional); dual encoder on each axis

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