NVIDIA announces Isaac Sim updates at CES

Source: NVIDIA blog post. People and packages in a warehouse together with robots.
Source: NVIDIA blog post. Simulated warehouse.

NVIDIA has updated Isaac Sim, its robotics simulation tool to build and test virtual robots in realistic environments across different operating conditions. The news was announced at CES.

A lack of adequate training data had previously hindered robotics deployments. Isaac Sim taps into Isaac Replicator to enable developers to create massive ground-truth datasets that mimic the physics of real-world environments. Using NVIDIA RTX technology, Isaac Sim can now render physically-accurate data from sensors in real time. This capability minimises the difference between a simulated world and the real world. In the case of an RTX-simulated lidar, ray tracing provides more accurate sensor data under various lighting conditions or in response to reflective materials.  

Isaac Sim’s new people simulation capability allows human characters to be added to a warehouse or manufacturing facility and tasked with executing familiar behaviours, like stacking packages or pushing carts. Isaac Sim further contains new simulation-ready 3D assets, which are critical to building physically accurate simulated environments. Everything from warehouse parts to popular robots come ready to go.

Significant new capabilities for robotics researchers include advances in Isaac Gym for reinforcement learning and Isaac Cortex for collaborative robot programming. Additionally, a new tool, Isaac ORBIT, provides simulation operating environments and benchmarks for robot learning and motion planning, NVIDIA disclosed. NVIDIA cuOpt, a real-time fleet task-assignment and route-planning engine improves operational efficiencies with automation.

Robot Operating System (ROS) developers will see extended functionality as there is now more support for ROS 2 Humble and Windows. All Isaac ROS software can now be used in simulation.

With Isaac Sim now available in the cloud, global, multidisciplinary teams working on robotics projects can collaborate with increased accessibility, agility and scalability for testing and training virtual robots, NVIDIA said.

The Isaac robotics platform provides AI and simulation software as well as compute capabilities to the robotics ecosystem. It supports over a million developers and more than a thousand companies.

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