At CES 2025, NVIDIA announced key updates to NVIDIA Isaac, a platform of accelerated libraries, application frameworks, and AI models that accelerate the development of AI robots. NVIDIA Isaac streamlines the development of robotic systems from simulation to real-world deployment. In this post, we discuss all the new advances in NVIDIA Isaac: NVIDIA Isaac Sim is a reference��
]]>From humanoids to policy, explore the work NVIDIA is bringing to the robotics community.
]]>Simulation is an essential tool for robots learning new skills. These skills include perception (understanding the world from camera images), planning (formulating a sequence of actions to solve a problem), and control (generating motor commands to change a robot��s position and orientation). Robotic assembly is ubiquitous in the automotive, aerospace, electronics��
]]>MoveIt is a robotic manipulation platform that incorporates the latest advances in motion planning, manipulation, 3D perception, kinematics, control, and navigation. PickNik Robotics, the company leading the development of MoveIt, is exploring the use of NVIDIA Isaac Sim in an internal R&D project. The project goals are to improve perception for manipulation and augment with MoveIt Studio, PickNik����
]]>The human hand is one of the most remarkable outcomes of millions of years of evolution. The ability to pick up all sorts of objects and use them as tools is a crucial differentiator enabling us to shape our world. For robots to work in the everyday human world, the ability to deftly interact with our tools and the environment around them is critical. Without that capability��
]]>NVIDIA robotics and simulation researchers presented Factory: Fast Contact for Robotic Assembly at the 2022 Robotics: Science and Systems (RSS) conference. This work is a novel breakthrough in the simulation and learning of contact-rich interactions, which are ubiquitous in robotics research. Its aim is to greatly accelerate research and development in robotic assembly, as well as serve as a��
]]>Today, NVIDIA announced the availability of the 2022.1 release of NVIDIA Isaac Sim. As a robotics simulation and synthetic data generation (SDG) tool, this NVIDIA Omniverse application accelerates the development, testing, and training of AI in robotics. With Isaac Sim, developers can generate production quality datasets to train AI-perception models. Developers will also be able to simulate��
]]>Join leaders from NVIDIA, key partners and experts as they share their vision for the future of AI and robotics at GTC next month from November 8 �C 11. More than 15 sessions will be presented covering autonomous machines and robotics-specific topics, ranging from manufacturing automation, to robotics research and learning. Below are five robotics sessions at GTC that will give you the��
]]>A critical question to ask when designing a machine learning�Cbased solution is, ��What��s the resource cost of developing this solution?�� There are typically many factors that go into an answer: time, developer skill, and computing resources. It��s rare that a researcher can maximize all these aspects, so optimizing the solution development process is critical. This problem is further aggravated in��
]]>From Jetson 101 fundamental walk-throughs, to technical deep dive tutorials, GTC is hosting over 1,400 sessions for all technical abilities and applications. Free registration provides access to topic experts, meet-and-greet networking events, and a keynote loaded with breakthrough announcements from NVIDIA CEO Jensen Huang. If you��re looking for a curated list of Edge AI sessions at GTC, we����
]]>Imagine a robot that can efficiently model clay, push ice cream onto a cone, or mold the rice for your sushi roll. MIT researchers developed a deep learning-based algorithm that improves a robot��s ability to mold materials into shapes, as well as enabling it to interact with liquids and solid objects. The work draws on inspiration from how humans interact with different objects.
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