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Programming robots for real-world success requires a training process that accounts for unpredictable conditions, different surfaces, variations in object size,…

Programming robots for real-world success requires a training process that accounts for unpredictable conditions, different surfaces, variations in object size, shape, texture, and more. Consequently, physically accurate simulations are vital for training AI-enabled robots before deployment. Crafting physically accurate simulation requires advanced programming skills to fine-tune algorithms…

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At the Conference for Robot Learning (CoRL) in Munich, Germany, Hugging Face and NVIDIA announced a collaboration to accelerate robotics research and development by bringing together their open-source robotics communities. Hugging Face’s LeRobot open AI platform combined with NVIDIA AI, Omniverse and Isaac robotics technology will enable researchers and developers to drive advances across a
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Robotics developers can greatly accelerate their work on AI-enabled robots, including humanoids, using new AI and simulation tools and workflows that NVIDIA revealed this week at the Conference for Robot Learning (CoRL) in Munich, Germany. The lineup includes the general availability of the NVIDIA Isaac Lab robot learning framework; six new humanoid robot learning workflows
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Generative AI has rapidly evolved from text-based models to multimodal capabilities. These models perform tasks like image captioning and visual question…

Generative AI has rapidly evolved from text-based models to multimodal capabilities. These models perform tasks like image captioning and visual question answering, reflecting a shift toward more human-like AI. The community is now expanding from text and images to video, opening new possibilities across industries. Video AI models are poised to revolutionize industries such as robotics…

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Humanoid robots present a multifaceted challenge at the intersection of mechatronics, control theory, and AI. The dynamics and control of humanoid robots are…

Humanoid robots present a multifaceted challenge at the intersection of mechatronics, control theory, and AI. The dynamics and control of humanoid robots are complex, requiring advanced tools, techniques, and algorithms to maintain balance during locomotion and manipulation tasks. Collecting robot data and integrating sensors also pose significant challenges, as humanoid robots require a fusion of…

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Robotic dexterous grasping is a critical area of research and development, aimed at enabling robots to interact with and manipulate objects as flexibly as…

Robotic dexterous grasping is a critical area of research and development, aimed at enabling robots to interact with and manipulate objects as flexibly as humans can. By enabling robots to handle complex tasks that require fine motor skills, dexterous grasping can significantly enhance productivity and efficiency. The first step to enabling human-like dexterous object manipulation for robots…

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This post was written in partnership with the Fourier research team. Training humanoid robots to operate in fields that demand high levels of interaction and…

This post was written in partnership with the Fourier research team. Training humanoid robots to operate in fields that demand high levels of interaction and adaptability—such as scientific research, healthcare and manufacturing—can be a challenging and resource-intensive feat. Fourier, a Shanghai-based robotics company, is doing the heavy lifting by developing advanced humanoid robots…

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As generative AI evolves and accelerates industry, a community of AI enthusiasts is experimenting with ways to integrate the powerful technology into common productivity workflows.

Deploying generative AI workloads in production environments where user numbers can fluctuate from hundreds to hundreds of thousands – and where input…

Deploying generative AI workloads in production environments where user numbers can fluctuate from hundreds to hundreds of thousands – and where input sequence lengths differ with each request – poses unique challenges. To achieve low latency inference in these environments, multi-GPU setups are a must – irrespective of the GPU generation or its memory capacity. To enhance inference performance in…

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NVIDIA AI Workbench is a free development environment manager that streamlines data science, AI, and machine learning (ML) projects on systems of choice. The…

NVIDIA AI Workbench is a free development environment manager that streamlines data science, AI, and machine learning (ML) projects on systems of choice. The goal is to provide a frictionless way to create, compute, and collaborate on and across PCs, workstations, data centers, and clouds. The basic user experience is straightforward: This post explores highlights of the October release…

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