Nvidia Advances Robot Simulation With Isaac Sim Updates
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Nvidia advances robot simulation with major updates to its Isaac Sim intelligent robot platform.
Features include new AI and cloud access that enables companies using the robotic platform to automate industries from logistics and manufacturing to energy, retail and more .
Demand for intelligent robots is growing as more industries embrace automation to address supply chain challenges and labor shortages, Nvidia said.
>The installed base of industrial and commercial robots will grow more than 6.4 times – from 3.1 million in 2020 to 20 million in 2030, according to ABI Research. Developing, validating and deploying these new AI-based robots requires simulation technology that places them in realistic scenarios.
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look hereAt CES 2023, Nvidia announced major updates to Isaac Sim, its robotics simulation tool for building and testing virtual robots in realistic environments under varying operating conditions. Now accessible from the cloud, Isaac Sim is powered by Nvidia Omniverse, a platform for building and operating metaverse apps.
Deepu Talla, Vice President of Embedded and Edge Computing, told a press briefing that robotics has accelerated during the pandemic due to a shortage of workers during the pandemic. He said Nvidia has added tools for Omniverse to simplify robotics simulation and make it easier to develop and test robots "from the cloud to the car".
As humans increasingly work side-by-side with collaborative robots (cobots) or autonomous mobile robots (AMR), it is critical that people and their common behaviors be added to the simulations, Nvidia said.
Isaac Sim's new people simulation ability lets you add human characters to a warehouse or manufacturing plant and perform familiar behaviors, like stacking packages or pushing carts. Many of the most common behaviors are already supported, so simulating them is as easy as issuing a command.
To minimize the difference between the results ob...
Check out all the Smart Security Summit on-demand sessions here.
Nvidia advances robot simulation with major updates to its Isaac Sim intelligent robot platform.
Features include new AI and cloud access that enables companies using the robotic platform to automate industries from logistics and manufacturing to energy, retail and more .
Demand for intelligent robots is growing as more industries embrace automation to address supply chain challenges and labor shortages, Nvidia said.
>The installed base of industrial and commercial robots will grow more than 6.4 times – from 3.1 million in 2020 to 20 million in 2030, according to ABI Research. Developing, validating and deploying these new AI-based robots requires simulation technology that places them in realistic scenarios.
EventOn-Demand Smart Security Summit
Learn about the essential role of AI and ML in cybersecurity and industry-specific case studies. Watch the on-demand sessions today.
look hereAt CES 2023, Nvidia announced major updates to Isaac Sim, its robotics simulation tool for building and testing virtual robots in realistic environments under varying operating conditions. Now accessible from the cloud, Isaac Sim is powered by Nvidia Omniverse, a platform for building and operating metaverse apps.
Deepu Talla, Vice President of Embedded and Edge Computing, told a press briefing that robotics has accelerated during the pandemic due to a shortage of workers during the pandemic. He said Nvidia has added tools for Omniverse to simplify robotics simulation and make it easier to develop and test robots "from the cloud to the car".
As humans increasingly work side-by-side with collaborative robots (cobots) or autonomous mobile robots (AMR), it is critical that people and their common behaviors be added to the simulations, Nvidia said.
Isaac Sim's new people simulation ability lets you add human characters to a warehouse or manufacturing plant and perform familiar behaviors, like stacking packages or pushing carts. Many of the most common behaviors are already supported, so simulating them is as easy as issuing a command.
To minimize the difference between the results ob...
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