Robotics

Robotics Applications for Embedded Vision

What is the Role of Cameras in Pick and Place Robots?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Pick and place robots perform repetitive handling tasks with speed and consistency, making them invaluable across industries. These robots depend heavily on the right camera setup. Get insights about the challenges faced by cameras, their

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Fast Growth of Humanoid Robots in the Automotive & Logistics Industry

Timeline for humanoid robots being adopted for different industries. Historically, the automotive and logistics sectors have led the charge in adopting automation and robotics, ranging from mobile robots and industrial arms to collaborative robots. Now, in a similar trend, automotive OEMs and warehouse operators are once again taking the lead, this time with humanoid robots.

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R²D²: Adapting Dexterous Robots with NVIDIA Research Workflows and Models

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robotic arms are used today for assembly, packaging, inspection, and many more applications. However, they are still preprogrammed to perform specific and often repetitive tasks. To meet the increasing need for adaptability in most environments, perceptive arms

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Humanoid Robots 2025-2035: Technologies, Markets and Opportunities

For more information, visit https://www.idtechex.com/en/research-report/humanoid-robots/1093. The market size of humanoid robots will reach around US$30 billion by 2035. Humanoid robots are widely regarded as “Artificial Intelligence Embodied in the Real World,” especially following the surge in AI advancements like ChatGPT over the past two years. From IDTechEx’s research and analysis, the market has seen a

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Collaborative Robots Drive Workforce Return in Auto Industry

Analysis of the cobots market penetration by different tasks and industries. Collaborative robots (cobots), a type of lightweight and slow-moving robot designed to work next to human operators without a physical fence, have gained significant momentum thanks to their flexibility and the initiatives of bringing humans back to factories, industry 5.0, and many announcements from

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Using AI to Better Understand the Ocean

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Humans know more about deep space than we know about Earth’s deepest oceans. But scientists have plans to change that—with the help of AI. “We have better maps of Mars than we do of our own exclusive

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Futuristic Robotics: Robodogs and Gardening Experts

Robots mastering the weekly shop could soon free up time at the weekends. With the introduction of collaborative robots and AI agents, household chores could also become a display of the latest intelligent robotics technology. From companionship robots that engage in conversation and play board games to cars that drive themselves safely using radar and

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R²D²: Advancing Robot Mobility and Whole-body Control with Novel Workflows and AI Foundation Models from NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers deeper insight and access to the latest physical AI and robotics research breakthroughs across

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RGo Robotics Implements Vision-based Perception Engine on Qualcomm SoCs for Robotics Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Mobile robotics developers equip their machines to behave autonomously in the real world by generating facility maps, localizing within them and understanding the geometry of their surroundings. Machines like autonomous mobile robots (AMR), automated guided vehicles (AGV)

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NVIDIA Announces Isaac GR00T N1 — the World’s First Open Humanoid Robot Foundation Model — and Simulation Frameworks to Speed Robot Development

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid Robots NVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics Engine New Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel March 18, 2025—GTC—NVIDIA today announced a portfolio of technologies to supercharge humanoid

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NVIDIA Announces Major Release of Cosmos World Foundation Models and Physical AI Data Tools

New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AI Two New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training 1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters March 18, 2025—GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing

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3LC Supports Saga Robotics in Agricultural ML

3LC and Saga Robotics Elevate Agricultural Robotics with Advanced Machine Learning and Computer Vision Houston, March 17, 2025 – 3LC is proud to announce that Saga Robotics is working with 3LC’s leading-edge machine learning platform to enhance the performance of its robotic solutions. By incorporating 3LC’s data quality and curation tool, Saga Robotics aims to

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Build Real-time Multimodal XR Apps with NVIDIA AI Blueprint for Video Search and Summarization

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising

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Optimizing Edge AI for Effective Real-time Decision Making in Robotics

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Optimizing Edge AI Key Takeaways Instant Decisions, Real-World Impact: Edge AI empowers robots to react in milliseconds, enabling life-saving actions in critical scenarios like autonomous vehicle collision avoidance and rapid search-and-rescue missions. Unshakeable Reliability, Unbreachable

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