Robot Perception

NVIDIA and SparkFun invite developers to build innovative AI applications using the NVIDIA Jetson. Enter now.

NVIDIA Isaac Transport for ROS (NITROS) is the implementation of two hardware-acceleration features introduced with ROS 2 Humble-type adaptation and type...

Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on...

NVIDIA announced major updates to the NVIDIA Isaac Robotics platform today at ROSCon 2023. The platform delivers performant perception and high-fidelity...

The camera module is the most integral part of an AI-based embedded system. With so many camera module choices on the market, the selection process may seem...

The need for a high-fidelity multi-robot simulation environment is growing rapidly as more and more autonomous robots are being deployed in real-world...

Imagine driving along a road and an obstacle suddenly appears in your path. How quickly can you react to it? How does your reaction speed change with the time...

Performing real-time inference with high accuracy is a challenging task, especially in a poor-visibility environment. With NVIDIA Jetson embedded platforms,...

NVIDIA Isaac GEMs for ROS provides a set of GPU-accelerated packages for your ROS2 application, improving throughput on image processing and DNN-based...

Perceiving and understanding the surrounding world is a critical challenge for autonomous robots. In conjunction with ROS World 2021, NVIDIA announced its...