This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond.

Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual environments to real-world deployment faster than ever.

With NVIDIA platforms for simulation, synthetic data and AI-powered robot learning, developers now have the tools to build machines that can perceive, reason and act in complex environments.

Check back here all week for coverage on the latest NVIDIA physical AI technologies.

University of Maryland Researchers Develop Robots for Complex Household Tasks

To bring robots into everyday life, researchers at the University of Maryland are developing AI-powered humanoid systems capable of performing complex household tasks with greater autonomy.

The project centers on building robot foundation models that unify perception, planning and control. Using the NVIDIA Isaac open robotics development platform, researchers can create photorealistic, high-fidelity virtual home environments populated with diverse objects and layouts, allowing robots to practice millions of task variations and safely test rare or complex scenarios.

NVIDIA RTX PRO 6000 Blackwell GPUs for training large models and NVIDIA Jetson AGX Thor developer kits for efficient deployment on physical robots help bridge the gap between research and real-world applications.

By combining advancements in generative AI, sequential decision-making and scalable computing, the work represents a key step toward general-purpose robots that can support people in homes, healthcare settings and beyond.

Announcing the MassRobotics Fellowship

The second cohort of the Amazon Web Services (AWS) MassRobotics fellowship comprises startups being recognized for compelling industrial use cases harnessing robotics and computer vision. They will receive access to technical resources and AWS cloud credits.

The cohort includes NVIDIA Inception members Burro, Config Intelligence, Deltia, Haply Robotics, Luminous Robotics, Roboto AI, Telexistence, Terra Robotics and WiRobotics, each developing technologies spanning humanoid robotics, industrial automation, haptics and agricultural systems.

Burro creates autonomous agricultural robots for tasks like grape harvesting and crop scouting.

Config Intelligence builds data infrastructure for general-purpose bimanual robotics to enable reliable two-handed tasks in real-world settings.

Deltia provides AI-driven manufacturing intelligence that optimizes assembly lines using computer vision and analytics.

Haply Robotics designs haptic control devices that serve as “steering wheels” for physical AI systems across industries.

Luminous Robotics deploys AI-powered robotic systems for fast, low-cost solar-panel installation and maintenance.

Roboto AI offers a data-analytics platform that accelerates robot development by managing and analyzing robotics data.

Telexistence develops AI-powered humanoid robots and remote-controlled systems for retail and logistics.

Terra Robotics develops laser-weeding agricultural robots to automate sustainable farming.

WiRobotics creates wearable walking-assist and humanoid robots to enhance mobility and physical interaction, using training data from assisted products to train its humanoids.

University of Maryland Researchers Develop Robots for Complex Household Tasks

Announcing the MassRobotics Fellowship

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