The latest Isaac release also includes support for the Robot Operating System (ROS) developer community.
NVIDIA has released six new Isaac GEMs, hardware-accelerated software packages that make it easier for ROS developers to build high-performance AI-enabled robots on the Jetson platform.
A common accident in warehouses and factories is that while an autonomous mobile robot (AMR) may “see” a forklift, it may still collide with its tines, noted the company.
The new Omniverse Replicator for Isaac Sim can train a dynamic neural network (DNN) Inference Isaac ROS GEM to safely and accurately recognize a forklift to avoid mishaps. This process allows developers to quickly add inference to ROS-based applications like the AMR use case described above.
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
North America’s largest automation and robotics event takes place June 22-25