RoboSemi Platform Docs
Deep technical documentation with expandable specs for every technology area — VLSI, AI/ML, IoT, Cloud & Security.
AI & Machine Learning
EnabledIntelligent Automation for Next-Gen Robotics
RoboSemi's AI & ML platform enables embedded intelligence at the edge. Pre-trained models, on-device inference, OTA model updates — no cloud dependency required. Click any step or platform below to expand full technical specifications.
ML Pipeline (Data → Inference → OTA)
Click any step to expand tools, hardware, and performance specs.
Supported Hardware Platforms
Click any platform to expand memory, performance, and integration details.
Features & Status
Dedicated HW accelerator for ML inference — up to 4 TOPS at under 2W. Supports TensorFlow Lite, ONNX, and custom quantized models.
Deploy models locally on MCUs and SBCs. Zero-latency inference with offline operation for remote deployments.
Continuous sensor data analysis with anomaly detection. Outputs structured events for upstream processing.
Run INT8-quantized models directly on ARM Cortex-M with our optimized inference kernel. Average latency < 10 ms.
Push updated ML models wirelessly without firmware reflash. Supports delta patching for bandwidth efficiency.
Automated model selection and hyperparameter tuning for domain-specific datasets. Planned Q3 2025.
Quickstart
- 1Purchase RS-NPU-01 module
- 2Flash RoboSemi Edge Runtime v3.2 via USB
- 3Upload .tflite model: rsemi flash --model model.tflite
- 4Call infer() from firmware — results in < 10 ms