To Empower Machines, To Inspire Intelligence
Robotics Edge AI Computing and Real-Time Control Platforms
MScape helps robot builders turn high-performance AI chips into deployment-ready compute and control systems, integrating edge AI, hard real-time motion control, EtherCAT/CAN FD, and multi-camera perception for embodied intelligence applications..




Engineering the Compute and Control Foundation for Embodied Intelligence
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.
Product Families
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.
- Jetson/Orin
- Multi-camera
- EtherCAT options
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.
- Real-time control
- CAN FD
- 300/500 TOPS
Application Scenarios
Wheeled humanoid robot
Embodied AI Compute
Real-Time Control
Drone
Low-Power Edge AI
Onboard Perception
Industrial Collaborative Robot
Vision-Guided Automation
Industrial I/O
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.
Control + Real-Time Motion
For humanoids, dexterous hands, quadrupeds, and compact motion systems that need deterministic control timing close to the robot body.
Edge AI + Multi-Camera Perception
For AMRs, service robots, and inspection platforms that need local AI inference, multi-camera access, and compact embedded deployment.
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.





