Clobotics runs GPU-accelerated computer vision on industrial robots — detecting defects, guiding pick-and-place, and coordinating fleets across the factory floor in real time.
Each module runs as an independent inference pipeline on Triton Server, hot-swappable without dropping frames. Deploy only what your production line needs.
YOLOv8 + ResNet pipeline detects micro-defects on moving parts — scratches, dents, coating voids, misalignment. Sub-pixel precision at 482 FPS.
6-DoF pose estimation guides robotic arms for bin picking and component placement. Trained on Isaac Sim synthetic data, refined with real-world fine-tuning.
Multi-agent RL coordinates hundreds of mobile robots. Dynamic task allocation, collision avoidance, and route optimization via NVIDIA cuOpt.
Time-series anomaly detection on motor current, vibration, and temperature. Predicts component failures 72 hours in advance — 60% fewer unplanned outages.
Cloud-based teleoperation with WebRTC video streaming and GPU-accelerated decision support. Operators intervene when confidence drops below threshold.
Models quantized to INT8 and deployed on NVIDIA Jetson Orin for on-robot inference. Zero cloud dependency for real-time control loops. OTA fleet updates.
Live inspection log from production lines running Clobotics vision systems across automotive, electronics, logistics, and pharmaceutical manufacturing.
From camera ingestion to robotic actuation — every layer runs on NVIDIA accelerated computing. Edge inference stays local for real-time control; training and fleet management run in the cloud.
Our sim-to-real pipeline generates millions of labeled images in Isaac Sim, pre-trains on H100 clusters, fine-tunes on customer data, and deploys optimized models to the edge — all in under 48 hours.
Generate millions of labeled images in Isaac Sim with domain randomization and physics-accurate rendering.
Train base models on H100 clusters with mixed precision, gradient accumulation, and multi-GPU distribution.
Adapt to customer-specific data with LoRA fine-tuning on real production images from the factory floor.
Quantize to INT8, compile TensorRT engines, validate on Jetson Orin target hardware for latency.
Push to fleet via OTA updates. Monitor with Triton metrics, DeepStream analytics, and live inspection log.
Every layer of our stack runs on NVIDIA accelerated computing — from training on H100 clusters to inference on Jetson Orin at the edge. Optimized for maximum throughput and minimum latency.