Before a robot can change the world, it needs software that builders can trust. NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models. “When more people can build robots,” he says, “the future gets here faster.” Read more about Jaiveer and the Isaac ROS team’s work here: https://nvda.ws/4xQEMsu
The future of robotics won't be shaped by hardware alone. Trusted developer tools and open ecosystems are what enable innovation to scale across the entire industry
Isaac ROS represents more than an open robotics framework—it marks the transition from AI that understands the world to AI that operates within it. The next frontier is no longer autonomy alone, but governed autonomy: where perception, reasoning, and physical execution remain continuously calibrated against reality, institutional constraints, and human sovereign oversight. The future belongs not only to robots that can act, but to architectures that can ensure every action remains legitimate, verifiable, and reality-anchored. Mostafa Mansour Abdelrahman Founder & Architect — ULTRA MATRIX Ω Civilizational Operating System Designer
Open-source tools are accelerating robotics innovation 🤖 Empowering more developers means faster progress and smarter automation for everyone
Open-source robotics frameworks are helping lower the barrier to innovation. As foundation models and robotics continue to converge, trusted software platforms will be just as important as advances in hardware for accelerating real-world deployment.
Isaac ROS is a strong example of why robotics stacks need both open interfaces and hardware-aware acceleration. For AMRs and humanoids, the hard part is not just perception accuracy; it is keeping latency, determinism and deployment complexity under control across sensors, planners and edge compute. Modular CUDA-accelerated packages can help teams move from prototype demos to repeatable field behavior faster. Great to see open source robotics infrastructure getting this kind of engineering focus. #Robotics #AI #EdgeAI
Robotics is moving from research to real-world deployment at an impressive pace. Open-source platforms like Isaac ROS help speed up development, while dependable PCB manufacturing ensures those innovations can be produced at scale. Looking forward to seeing the next generation of intelligent robots.
That's a great point. Breakthroughs in robotics don't just come from better hardware, they come from giving developers reliable platforms they can actually build on. Trust in the software stack is what turns research into real-world applications.
Every advance in robotics tends to be attributed to AI, yet the real bottleneck often lies in software engineering. We can train increasingly capable models, but if the platform does not allow for their safe deployment, monitoring, updating, and recovery from failures, their potential remains nothing more than a demonstration. The next major competitive advantage may not come from having a smarter robot, but from building one with an architecture that enables continuous improvement without having to start from scratch with every new version.