IsaacSim Robotics
AI-Driven Robotic System Modeling
Project Summary
The IsaacSim Robotics project leverages NVIDIA's powerful Isaac Sim platform to build photorealistic, physics-accurate digital twins of industrial environments. These simulations serve as the training ground for our advanced AI and reinforcement learning models.
By training and validating robotic systems in a virtual world, we can drastically reduce development time, lower costs, and increase safety. Our focus is on creating autonomous robots capable of performing complex manipulation and navigation tasks in dynamic, real-world settings.
Technology Used
Collaboration Info
We are seeking partners in manufacturing, logistics, and automation who are interested in deploying next-generation robotic solutions. Let's work together to build the autonomous factories and warehouses of the future.
Completed
Environment setup and digital twin creation of a factory floor.
In Progress
Training reinforcement learning models for robotic arm manipulation.
Planned
Sim-to-real transfer and testing on physical hardware.
Led by our robotics division, this project is a core focus of our R&D efforts, with guidance from Harris Frangou (CEO).