Intelligent Robotics
- Collaborative Robots (Cobots)
- Robotic Manipulation
- Pick-and-Place Automation
- Dynamic Motion Planning
Physical AI for Intelligent Industrial Operations
Bringing AI beyond software by combining vision, robotics, world models, and edge intelligence to enable autonomous industrial systems.
Robotics · Vision · World Models · Edge AI
-
-
Vision & Navigation
- 3D Vision & Sensors
- Semantic Navigation
- Obstacle Recognition
- Real-time Localization
-
World Models & Digital Twins
- Physics-based AI Models
- Digital Twins
- Simulation & Validation
- Predictive Decision Making
-
Edge & Industrial AI
- Edge AI Inference
- Factory Automation
- Semiconductor Test Intelligence
- Autonomous Operations
Sim-to-real pipeline
From simulation to the shop floor
Robot and vision behavior is validated in physics-accurate simulation before anything moves on the factory floor.
-
Stage 01
Perceive
Capture the work cell with 3D vision and sensors, and build perception for pose estimation, obstacle recognition and real-time localization.
-
Stage 02
Simulate
Model robots, cells and lines as physics-based digital twins to test scenarios and edge cases safely.
-
Stage 03
Train
Train and validate robot policies and world models in simulation before they touch real equipment.
-
Stage 04
Deploy at the edge
Optimize models for real-time inference on edge hardware, with motion planning close to the machines they control.
-
Stage 05
Operate
Monitor autonomous operations on the floor and feed real-world data back into the twin to keep improving accuracy and throughput.
Technologies we work with
The NVIDIA and open-source tools we use at each stage, from world models and simulation to edge deployment.
Robotics, World Models & Simulation
World models
- NVIDIA Cosmos
- Isaac GR00T
Simulation
- Omniverse
- Isaac Sim
- Warp
- MuJoCo
Perception, Edge AI & Deployment
Vision & Edge
- ROS 2
- OpenCV
- DeepStream
- TensorRT
- Jetson
- Triton
- CUDA
- FoundationPose
- cuMotion
Work with us as
Compare engagement models - Co-Engineering (Time & Material)
- Managed Services (Fixed Price)
- or Engineering Pods (Monthly Pod-based Pricing)
Tell us about the cell, line or inspection task you want to automate. We'll show you how vision, robotics, world models and edge AI would come together for it.