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Robotics News
Nvidia
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Image Credit: Nvidia
NVIDIA Research Breakthroughs Put Advanced Robots in Motion
- NVIDIA Research is making breakthroughs in robot training through areas like multimodal generative AI and synthetic data generation, to be showcased at the International Conference on Robotics and Automation (ICRA).
- Research innovations aim to advance autonomous vehicles and humanoid robots by bridging data gaps, improving safety, and enhancing control.
- Key NVIDIA-authored papers at ICRA include advancements like DreamDrive for generating 4D driving scenes, system-level safety monitoring for autonomous vehicles, and DexMimicGen for dexterous manipulation datasets.
- Workshops at ICRA will delve into topics like human motion prediction, trustworthy embodied AI, real-world planning and control, integrating vision-language models, and human-centered robot learning.
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Robotsblog
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Image Credit: Robotsblog
BerryBot: STEM Education for Young Engineers with a wooden robot
- Robotistan introduces BerryBot, a new STEM robot aimed at helping children develop coding and robotics skills.
- BerryBot is a versatile learning platform with a wooden body that kids can paint and customize to foster creativity and problem-solving skills.
- Key features include customizable wooden body, versatile coding options, and multi-mode movement capabilities for a hands-on educational experience.
- BerryBot combines coding skills with creativity, offering a fun and educational tool for young engineers and aiming to inspire the next generation of innovators in STEM education.
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Dev
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Image Credit: Dev
Advances in Robotics: Safety, Generalization, and Human-Robot Interaction in 2025 Research
- The article explores cutting-edge advancements in robotics focusing on safety, generalization, and human-robot interaction in studies published on May 16, 2025.
- Progress in lifelike movement of robots, such as humanoid stability improvements and legged robots performing parkour, highlights adaptability in dynamic environments.
- Safety innovations like SHIELD in reinforcement learning and REACT for autonomous vehicles emphasize the importance of balancing performance and safety in robotics.
- Advancements in perception include Sparsh-skin for tactile object recognition and radiance fields for improved grasp planning, enhancing robotic decision-making.
- Efforts toward generalization feature GROQLoco's universal locomotion policy and Counterfactual Behavior Cloning for inferring human intent, showcasing adaptability.
- Human-robot interaction evolves with models like OE-VLA for open-ended instructions and REI-Bench for ambiguous requests, enabling contextually aware robotic responses.
- Methodological approaches vary, utilizing techniques like model predictive control, control barrier functions, self-supervised learning, and diffusion policies to address specific challenges.
- Key findings reflect progress in safety enforcement, generalization across robot morphologies, and improved efficiency in robot learning from human input, despite computational and data efficiency limitations.
- Future directions include exploring lifelong learning, integrating embodied AI for richer understanding, developing low-cost hardware, and fostering interdisciplinary collaboration for innovative solutions in robotics.
- The studies indicate a trend towards versatile, adaptable robots capable of safe and intuitive interaction in diverse human-centric environments.
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The Robot Report
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NVIDIA releases cloud-to-robot computing platforms for physical AI, humanoid development
- NVIDIA announced Isaac GR00T N1.5 and Isaac GR00T-Dreams at Computex in Taipei, focusing on humanoid robot reasoning and skills development.
- Jensen Huang, NVIDIA's founder and CEO, emphasized the impact of physical AI and robotics on the industrial revolution.
- Companies like Agility Robotics, Boston Dynamics, and NEURA Robotics are adopting NVIDIA's Isaac platform technologies for humanoid robot advancement.
- The GR00T-Dreams blueprint by NVIDIA generates synthetic motion data to teach robots new behaviors.
- NVIDIA Research used the GR00T-Dreams blueprint to quickly develop GR00T N1.5, improving adaptability and object recognition.
- NVIDIA introduced simulation technologies like Cosmos Reason and Cosmos Predict to aid in physical AI model training.
- 'GR00T N1.5' trained on synthetic data by Group Dreams Blueprint accelerates humanoid robot development and deployment.
- Developers can use RTX PRO 6000, synthetic data generation, and simulation to build robots beyond humanoids for various applications.
- NVIDIA also unveiled systems like Blackwell-powered servers for AI workloads and announced collaborations with global systems manufacturers.
- The focus on advancing physical AI and humanoid development underlines NVIDIA's commitment to driving innovation in robotics technology.
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VentureBeat
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Image Credit: VentureBeat
Nvidia charges ahead with humanoid robotics aided by the cloud
- Nvidia is making strides in humanoid robotics technology, unveiling Isaac GR00T N1.5 and other innovations at Computex 2025 trade show.
- Companies like Agility Robotics, Boston Dynamics, and NEURA Robotics are adopting Nvidia Isaac platform technologies for humanoid robot development.
- Nvidia's CEO, Jensen Huang, believes physical AI and robotics will drive the next industrial revolution.
- Nvidia showcased Isaac GR00T-Dreams, a blueprint for generating synthetic motion data, in Huang's Computex keynote address.
- The Nvidia Isaac platform includes technologies like OVX, DGX, and HX computers to cover simulation, training, and deployment for robots.
- Nvidia's GR00T-Dreams blueprint generates videos using synthetic data to teach robots new tasks and behaviors.
- The Gr00t N1.5 update improves adaptability in new environments and workspace configurations, accelerating the development of humanoid robots.
- Nvidia Research used the GR00T-Dreams blueprint to create GR00T N1.5 in just 36 hours, significantly reducing development time.
- Nvidia unveiled simulation technologies like Cosmos Reason and GR00T-Mimic to bridge the data and testing gap for humanoid robot development.
- Companies like Foxconn, Foxlink, and NEURA Robotics are already leveraging Nvidia's simulation frameworks to enhance their robotics training pipelines.
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Nvidia
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Image Credit: Nvidia
That’s One Smart Hospital! Taiwan Medical Centers Deploy Life-Saving Innovations With NVIDIA System-Builder Partners
- Healthcare organizations globally are implementing AI, robotics, and digital twins to enhance medical procedures and diagnoses.
- AI and robots in hospitals can automate tasks, aid in patient care, and address workforce shortages.
- Challenges like hospital overcrowding and workforce shortages are prompting the adoption of smart hospital technologies.
- Taiwan's top medical centers, including CGMH and NTUH, are integrating AI-powered healthcare solutions with system builders.
- CGMH utilizes AI for colonoscopy workflows, improving efficiency and surgical precision.
- Cathay General Hospital employs AI assistance in diagnostics, enhancing lesion detection and polyp identification during colonoscopies.
- NTUH leverages AI imaging for quick and accurate diagnosis of cardiovascular risks and liver tumors.
- TCVGH partners with Foxconn to use AI for multimodal imaging, clinical documentation, and developing smart hospital solutions.
- TCVGH's Co-Healer system, powered by NVIDIA Jetson Xavier NX, streamlines clinical documentation processes and provides medical support.
- Advancements in AI are revolutionizing healthcare, improving patient outcomes and operational efficiencies in medical centers.
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Nvidia
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Image Credit: Nvidia
NVIDIA Omniverse Digital Twins Help Taiwan Manufacturers Drive Golden Age of Industrial AI
- NVIDIA and Taiwan’s manufacturing ecosystem are showcasing the role of digital twins in accelerating industrial AI at COMPUTEX in Taipei.
- Leading manufacturers like Foxconn, TSMC, and Wistron are utilizing digital twins and AI agents for operational efficiencies and factory planning.
- Foxconn uses the Fii Digital Twin platform for designing robot work cells and simulation of entire factory layouts.
- TSMC collaborates with AI-powered digital twins startup to optimize planning and construction of new fabs using AI engines and Omniverse libraries.
- Wistron's WiDT platform optimizes layout planning, trains robots, and enhances worker productivity through real-time data and AI.
- Pegatron, Kenmec, MetAI, GIGABYTE, Quanta, and other companies are also leveraging digital twins for various manufacturing processes and efficiencies.
- Taiwan manufacturers are using digital twins with Omniverse technologies to develop AI-enabled robots for automation and simulations.
- Delta Electronics, Techman Robot, Foxlink, Solomon, Kudan, MSI, Adata, and Advantech are some companies making advancements in robotics using NVIDIA technology.
- Healthcare applications include the use of NVIDIA technology in developing AMRs for disinfecting hospitals and aiding in medical processes.
- NVIDIA's involvement in accelerating robotics development and AI integration in manufacturing processes is a significant aspect of the showcased innovations.
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Unite
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Image Credit: Unite
How OpenAI’s o3 and o4-mini Models Are Revolutionizing Visual Analysis and Coding
- OpenAI introduced its advanced models o3 and o4-mini in April 2025, revolutionizing visual analysis and coding support in the AI field.
- These models excel in handling tasks efficiently by combining text and image processing with strong reasoning skills, achieving high accuracy levels.
- Key advancements in these models include improved context handling, multimodal integration, and support for up to 200,000 tokens for enhanced analysis of large codebases.
- Safety and accuracy are ensured through OpenAI’s alignment framework, which checks actions against user intentions, especially in critical sectors like healthcare and finance.
- The models allow parallel processing for faster workflows, real-time code analysis, automated debugging, and context-aware documentation generation.
- o3 model prioritizes precision and is suitable for tasks like AI model training and scientific data analysis, while o4-mini offers cost-effective solutions for larger-scale projects.
- Advancements in visual analysis include OCR for text extraction, image quality enhancement, and 3D spatial reasoning from 2D blueprints.
- Choosing between o3 and o4-mini depends on the project's precision and cost requirements, with o3 ideal for high-precision tasks and o4-mini for cost-efficient solutions.
- Overall, OpenAI's models o3 and o4-mini empower developers with enhanced capabilities for coding, visual analysis, and automation, driving innovation across industries.
- These models offer adaptable solutions to meet diverse project needs, supporting both precision-driven research and cost-effective, high-speed tasks.
- The transformative shift brought by o3 and o4-mini models signifies a significant advancement in AI technology, reshaping how developers approach complex challenges.
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The Robot Report
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NVIDIA accepts Ekso Bionics into its Connect program
- Ekso Bionics Holdings Inc. has been accepted into the NVIDIA Connect program to build a proprietary foundation model for human motion.
- Ekso Bionics develops exoskeleton technology for medical and industrial use, aiming to integrate new artificial intelligence capabilities across its health devices.
- The company's Ekso Indego Personal exoskeleton helps patients with mobility impairments walk independently with easy setup and quick learning curve.
- NVIDIA Connect program supports technology companies like Ekso Bionics to accelerate product development and provide access to advanced resources.
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Dev
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Image Credit: Dev
Mobile Robot Concept Design Development
- Robonine completed the first variation of the full robot design in May, showcasing the progress step by step.
- Initial requirements include creating a 3D design concept, showcasing it in a VR environment, and providing source files.
- The design features external parameters like matte black color, frame dimensions, Segway-style operation, and installation of cameras and LED strips.
- The concept includes balancing mechanism, swiveling wheels, manipulators with gripper design, sensors, motor wheels, and different versions of the main frame design.
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Medium
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Image Credit: Medium
HardTech Reads: The AI & Robotics Revolution vol.31
- Foundation, a humanoid robotics startup, sees rapid growth with a $1B valuation after raising $100M.
- Mechanize, a new startup, aims to automate every job on Earth, sparking discussions about the role of AI in industries.
- AI-powered recycling robots now compete with humans in recycling speed and accuracy, expanding automation beyond factories.
- The U.S. government is increasing investments in quantum computing for defense, infrastructure, and space, shaping future competitiveness.
- Aetherflux plans to beam solar energy back to Earth using laser-based satellite systems, aiming for commercial success.
- Path Robotics and ALM Positioners partner to automate high-mix, high-variability welding tasks, revolutionizing factory automation.
- Plus achieves a milestone in autonomous trucking by validating driverless safety maneuvers without people on board.
- Robotics adoption is globally expanding, evidenced by daily robot deliveries, 3D-printed Starbucks stores, and other integrations.
- Kruncher launches the 'AI Analyst for Private Markets,' enhancing data processing and insights for VC and private market professionals.
- Various companies in the robotics and automation sector secure significant funding rounds, indicating continued growth and innovation in the industry.
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The Robot Report
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RealMan displays embodied robotics at Automate 2025
- RealMan Intelligent Technology Co. showcased its latest lineup of robotic arms, dual-arm platforms, and joint modules at Automate 2025 for industrial automation and human-robot collaboration.
- The company's products find applications in industries like new retail, healthcare, education, and aerospace, with a focus on bringing robots to homes and businesses.
- RealMan displayed cutting-edge technologies at the event, including dual-arm lifting platform, joint modules, healthcare robot, robotic loading/unloading cells, robotic polishing workstation, and heavy-duty robotic arm.
- The company emphasized its global expansion and commitment to providing customizable, embodied robotic solutions to industrial customers, engaging with partners from the U.S. and Canada at Automate 2025.
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The Robot Report
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Persona AI raises $27M to develop humanoid robots for shipyards
- Persona AI Inc. has raised $27 million in a pre-seed funding round to develop humanoid robots for shipyards and manufacturing tasks.
- The Houston-based company plans to use the investment to accelerate the development and deployment of its platform designed for physically demanding environments.
- Robotics veterans founded Persona AI in 2024, focusing on industrial-grade precision and human-like dexterity to address labor shortages and enhance workplace safety.
- The funding round was co-led by Unity Growth and Tides Ventures, with investments from various firms, to support Persona AI's vision for humanoid robot labor in industrial settings.
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Medium
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4
Image Credit: Medium
Is Artificial Intelligence Performing Surgeries Instead of Doctors?
- Artificial Intelligence (AI) is making its mark in the world of surgery by assisting in pre-surgery planning, analyzing medical scans, guiding robotic instruments, predicting complications, and suggesting alternative surgical paths.
- Surgical robots like the Da Vinci Surgical System improve cutting and stitching accuracy, minimize bleeding, shorten operating and recovery times, and automatically correct movements based on AI integration, while still being controlled by human surgeons.
- AI learns from millions of medical images, surgical records, and patient data to enhance surgical procedures by offering unmatched precision, real-time 3D visual analysis, and alerting surgeons about critical situations during operations.
- While AI has performed soft tissue surgery successfully on a pig without human intervention, current regulations prevent AI from independently operating on humans due to ethical, legal, and emotional considerations. Surgeons view AI as an ally that enhances surgical skills, reduces errors, and allows them to focus on saving lives.
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