Items tagged with “Robotics”.
Tesla’s latest Master Plan leans into AI, humanoid robots, and a utopian notion of sustainable abundance, while critics argue it offers little in the way of concrete milestones amid a sales downturn and leadership chaos.
Jetson Thor delivers edge-scale AI, enabling fast, multi-model generative reasoning with a Blackwell GPU, MIG, FP4/FP8, and 128 GB memory for next-gen robotic platforms.
Jetson Thor combines edge AI compute, MIG virtualization, and multimodal sensors for flexible, real-time robotics at the edge, with FP4/FP8 acceleration and support for Isaac GR00T and large language/vision models.
NVIDIA announces general access for Isaac Sim 5.0 and Isaac Lab 2.2 at SIGGRAPH 2025, delivering new robot models, enhanced sensor simulation, ROS 2 integration, and cloud-based deployment via NVIDIA Brev.
NVIDIA's Omniverse NuRec pairs 3DGUT with COLMAP to turn real-world data into photorealistic USD assets for Isaac Sim and CARLA, accelerating sim-to-real testing and robot training.
NVIDIA Cosmos Reason is an open, fully customizable reasoning vision-language model for physical AI and robotics. It enables step-by-step multimodal reasoning and boosts robotics performance through post-training refinements.
NVIDIA unveils updates to Omniverse libraries, Cosmos WFMs, and interoperability tools to enable physically accurate robot simulations, OpenUSD workflows, and accelerated AI-enabled robotics development.
NVIDIA Research explores World Foundation Models (WFMs) for synthetic data generation and data curation to accelerate robot and industrial AI training, detailing Cosmos Predict, Cosmos Transfer, and Cosmos Reason and related workflows.
Explains world models (world simulators), their origins, current developments like Sora, potential applications, challenges, and implications for developers and enterprises.
Overview of BAIR Lab's 2024 AI PhD graduates, their research areas, advisors, and contact links, with profiles, research blurbs, and URLs for recruiting and collaboration.
Directory of BAIR Lab PhD graduates featuring research interests, advisor(s), and contact details to facilitate collaboration and recruitment.