AI Warehouse: AMR Visual Navigation with Isaac Sim & Isaac ROS

Autonomous machines are forecasted to dramatically increase the efficiency of warehouses, factories, and other industrial environments. NVIDIA Isaac ROS GEMs enable novel applications by empowering robots to intelligently perceive complex 3D environments.

In this video, we showcase a camera-based navigation pipeline in which a robot uses NVIDIA’s GPU-accelerated visual SLAM algorithm (https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_visual_odometry) to find its location in the world. GPU-accelerated, real-time 3D scene reconstruction (https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_nvblox) is used to map its environment and plan collision-free trajectories. Finally, we demonstrate how Replicator, which is part of NVIDIA Isaac Sim (https://developer.nvidia.com/isaac-sim), can be used to procedurally generate industrial spaces in which to develop and validate robotics systems.

Empower your robot with GPU-accelerated robotics algorithms today!

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Видео AI Warehouse: AMR Visual Navigation with Isaac Sim & Isaac ROS канала NVIDIA Developer