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To Empower Machines, To Inspire Intelligence

mscape receives sgs performance tested mark certification

1500 TOPS

Edge AI Compute Headroom

Selected T Series platforms support up to 1500 TOPS-class edge AI compute for embodied intelligence workloads.

<50 μs

EtherCAT Bus Cycle Jitter

N100 supports commercial-grade EtherCAT integration with bus cycle jitter below 50 μs for real-time robot control.

10-Channel

Camera Input Support

Selected platforms support multi-camera input for perception, navigation, inspection, and sensor fusion.

Certifications & Validation

Product Families

mscape n series model

N Series

Compatible Robotics Edge AI Computers

High-compatibility robotics edge AI computers for teams that need compact integration, Jetson/Orin ecosystem compatibility, rich sensor access, and fast development.

mscape t series model

T Series

Brain-Cerebellum Compute and Control

Brain-cerebellum computing and control platforms for teams that need real-time motion control, high AI compute, industrial interfaces, and deployment-oriented embodied intelligence hardware.

Application Scenarios

wheeled humanoid robot ai computing platform

Wheeled humanoid robot

Embodied AI Compute

Real-Time Control

drone edge ai computing module application

Drone

Low-Power Edge AI

Onboard Perception

industrial collaborative robot ai controller application

Industrial Collaborative Robot

Vision-Guided Automation

Industrial I/O

quadruped robot edge ai computer application

Quadruped Robots

Real-Time Motion Control

Edge AI Perception

Choose the Right Robot Computing Path

Compare compute, control, camera, and deployment requirements before selecting an MScape AI platform.

01

Control + Real-Time Motion

For humanoids, dexterous hands, quadrupeds, and compact motion systems that need deterministic control timing close to the robot body.

Key signals
EtherCAT CAN FD Linux RT
02

Edge AI + Multi-Camera Perception

For AMRs, service robots, and inspection platforms that need local AI inference, multi-camera access, and compact embedded deployment.

Key signals
GMSL2 Jetson / Orin Ethernet
03

Integrated Brain-Cerebellum Platform

For embodied AI systems that need AI compute, perception, robot I/O, and real-time control evaluated as one robot-side architecture.

Key signals
AI Compute Motion Control Robot I/O
Not sure which platform fits? Share your robot type, camera count, control bus, compute target, power budget, and deployment timeline. Talk to an Engineer
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