Gerard Andrews

Gerard Andrews is a Sr. Product Marketing Manager focused on the robotics developer community. Prior to joining NVIDIA, Gerard was at Cadence where he was Product Marketing Director, responsible for product planning, marketing, and business development for licensable processor IP. He holds an MS in electrical engineering from Georgia Institute of Technology and a BS in electrical engineering from Southern Methodist University.

Posts by Gerard Andrews

News 1

Improve Perception Performance for ROS 2 Applications with NVIDIA Isaac Transport for ROS

Announcing NVIDIA Isaac Transport for ROS (NITROS) pipelines that use new ROS Humble features developed jointly with Open Robotics. 6 MIN READ
An image of a forklift in Isaac Sim
News 2

NVIDIA Omniverse Replicator Generates Synthetic Training Data for Robots

Omniverse Replicator introduces new capabilities to build production-quality synthetic datasets and train robust deep learning perception models. 7 MIN READ
Image shows Carter V2 Mobile Robot with semantic Lidar in warehouse scene.
News 3

NVIDIA Isaac ROS Delivers AI Perception to ROS Developers

In conjunction with ROS World 2021, NVIDIA announced its latest efforts to deliver performant perception technologies to the ROS developer community. 5 MIN READ
Technical Walkthrough 3

Trimble Explores Acceleration of Autonomous Robot Training with Synthetic Data Generation and NVIDIA Isaac Sim

Learn how Trimble used NVIDIA Isaac Sim on Omniverse to generate synthetic datasets to train a robot for an indoor operating environment. 7 MIN READ
Image of a piece of robotics equipment in a warehouse.
News 0

NVIDIA AI Perception Coming to ROS Developers

NVIDIA announces new initiatives to deliver a suite of perception technologies to the ROS developer community. 6 MIN READ
News 0

NVIDIA Isaac Sim on Omniverse Now Available in Open Beta

The new Isaac simulation engine not only creates better photorealistic environments, but also streamlines synthetic data generation and domain randomization to build ground-truth datasets to train robots in applications from logistics and warehouses to factories of the future. 6 MIN READ