Today, we’re celebrating the more than 2 million developers now using the NVIDIA robotics stack. These builders are reshaping industries across manufacturing, food delivery, agriculture, healthcare, facilities maintenance and much more.

Since the launch of the NVIDIA Jetson platform in 2014, a growing ecosystem of more than 1,000 hardware systems, software and sensor partners have joined the thriving developer community to help enable more than 7,000 customers to adopt edge AI across industries.

The next-generation NVIDIA Jetson Thor platform is built for physical AI and humanoid robotics. It supports any popular AI framework and generative AI model and is fully compatible with NVIDIA’s software stack from cloud to edge, including NVIDIA Isaac for robotics simulation and development, Isaac GR00T humanoid robot foundation models, NVIDIA Metropolis for vision AI and NVIDIA Holoscan for real-time sensor processing.

There’s a staggering number of industry-changing applications in the market enabled by NVIDIA Jetson. We’ll be featuring just some of the companies here daily all week, and stay tuned: some exciting product news is coming on the last day.

• Manufacturing — Peer Robotics

Peer Robotics Develops Autonomous Pallet Jacks for Manufacturers 🔗

Peer Robotics is rolling into developments with a leading retailer and a large automaker.

Peer Robotics, an NVIDIA Inception startup, deploys NVIDIA Jetson for its lines of manufacturing and logistics robots. Peer recently released its Peer 3000, an autonomous pallet jack assistant that runs on Jetson AGX Orin.

“NVIDIA Jetson has allowed us to create robots that run models for processing camera inputs to safely navigate surroundings and assist workers in doing their work more efficiently, driving better outcomes for businesses,” said Rishabh Agarwal, cofounder and CEO of Peer Robotics. “As a result, our business at Peer Robotics is growing exponentially.”

The Peer 3000 can move payloads up to 3,000 lbs and act as a locomotive to automate complete operations of moving existing trolleys or pallets in warehouses or production lines.

The company processes large quantities of sensor data at the edge with Jetson AGX Orin as well as on the cloud and in local systems — and it relies on a three computer solution for building physical AI for robotics.

Peer Robotics harnesses Isaac Sim with data its robots collect to refine how they can scoop up palettes, pull carts and navigate better in changing warehouse scenarios.

“The Isaac SDK and Isaac Sim have helped us test and validate in simulation before deployment to get to market faster when it comes to handling new pallet types or trolleys and different environment settings,” said Agarwal.

The company’s Peer Robotics Dashboard enables facilities managers to make more informed decisions driven by data collected by its robots.

The company is anticipating the availability of NVIDIA Jetson Thor to run more robust models, handle privacy on the edge and tackle new areas of automation and tasks.