Today at TechCrunch’s TC Sessions: Robotics + AI event at UC Berkeley, Nvidia VP of Engineering Claire Delaunay announced that the company’s Isaac SDK is available for download. Announced last month, the app development kit is part of the chipmaker’s ongoing push to assist make robotics development more accessible for a wider range of users.
The system is designed to upgrade accessibility to key features of robotics AI and ML, including obstacle detection, speech recognition and stereo depth estimation, each of which will prove key elements to even basic robotic systems, going forward.
According to the company:
Using computational graphs and an entity element system, the Isaac android motor allows developers to break down complex robotic tasks into a network of smaller, simpler levels. Developing a complex system is made simple using Gems, which are modular capabilities for sensing, planning, and actuation that can be easily plugged into a robotics application.
And, of course, the system will play nicely with NVIDIA’s own robotics hardware elements like the Jetson Nano and Jetson AGX Xavier. Delaunay demonstrated some of the system’s functionality onstage at today’s event, using Nvidia’s dual in-house reference platforms, the two-wheeled Carter and four-wheeled Kaya.