Articles tagged with "robot-simulation"
Genie Sim 3.0 launches as AGIBOT expands open robotics simulation
AGIBOT has launched Genie Sim 3.0, an advanced open-source robot simulation platform unveiled at CES 2026, designed to accelerate the development and evaluation of embodied intelligence in robotics. The platform integrates tightly with NVIDIA Isaac Sim on NVIDIA Omniverse, creating a unified pipeline that combines digital asset creation, scene generation, data collection, automated evaluation, and physics-based simulation. Central to Genie Sim 3.0 is the Genie Sim Benchmark, a standardized evaluation system covering over 200 tasks across 100,000+ simulated scenarios, aiming to provide comprehensive capability profiles for robotic models rather than narrow metrics. A key feature of Genie Sim 3.0 is its extensive open-source dataset, which includes more than 10,000 hours of synthetic data reflecting real-world robot operations across multiple sensor modalities such as RGB-D, stereo vision, and whole-body kinematics. The platform incorporates automated data collection with teleoperation, scripted task execution, auto-annotation, and failure recovery to reduce time and
roboticsrobot-simulationembodied-intelligencedigital-twinsAI-simulationNVIDIA-Isaac-Simopen-source-roboticsDisney trains robots to fall, roll, and land safely without damage
Disney researchers, collaborating with university engineers, have developed a reinforcement learning-based system that enables bipedal robots to fall safely by controlling their landing poses to protect sensitive components. Traditional robots often suffer damage from uncontrolled falls due to stiff joints or flailing limbs, leading to costly repairs. Instead of resisting gravity, the new approach teaches robots to absorb impacts by rolling or shifting limbs during a fall to land in stable, damage-minimizing positions, prioritizing damage prevention over strict balance control. The training involved thousands of simulated falls with randomized velocities and directions, allowing the robot to learn a variety of safe landing strategies. A scoring system rewarded moves that reduced impact forces and protected vulnerable parts like the head and battery pack, while penalizing erratic motions. The researchers generated 24,000 stable poses, including artist-designed ones within realistic joint limits, to expand the robot’s repertoire of safe landings. After two days of training on powerful GPUs, the learned policy was transferred to a real 16-kil
roboticsreinforcement-learningrobot-safetybipedal-robotsrobot-fall-protectionDisney-researchrobot-simulationNVIDIA unveils brain-and-body stack to train next-gen humanoids
NVIDIA has introduced a comprehensive robotics stack aimed at advancing humanoid robot development by integrating physics simulation, AI reasoning, and infrastructure within its Isaac Lab platform. Central to this update are the open-source, GPU-accelerated Newton Physics Engine and the Isaac GR00T N1.6 robot foundation model. Newton, co-developed with Google DeepMind and Disney Research and managed by the Linux Foundation, enables highly realistic simulations of complex physical interactions—such as walking on uneven terrain or handling fragile objects—facilitating safer and more reliable transfer of robot skills from simulation to real-world environments. Early adopters include leading academic and industry robotics groups. Isaac GR00T N1.6 incorporates NVIDIA’s Cosmos Reason, a vision-language reasoning model designed for physical AI, which enhances humanoid robots’ ability to interpret ambiguous instructions, leverage prior knowledge, and generalize across tasks. This model supports simultaneous movement and object manipulation, tackling advanced challenges like opening heavy doors. Developers can fine-tune GR00T
roboticshumanoid-robotsNVIDIA-IsaacNewton-Physics-EngineAI-infrastructurerobot-simulationphysical-AINVIDIA launches Newton physics engine and GR00T AI at CoRL 2025 - The Robot Report
NVIDIA has introduced several advancements to accelerate robotics research, unveiling the beta release of Newton, an open-source, GPU-accelerated physics engine managed by the Linux Foundation. Developed collaboratively with Google DeepMind and Disney Research, Newton is built on NVIDIA’s Warp and OpenUSD frameworks and is designed to simulate physical AI bodies. Alongside Newton, NVIDIA announced the latest version of the Isaac GR00T N1.6 robot foundation model, soon to be available on Hugging Face. This model integrates Cosmos Reason, an open, customizable vision language model (VLM) that enables robots to convert vague instructions into detailed plans by leveraging prior knowledge, common sense, and physics, thus enhancing robots’ ability to reason, adapt, and generalize across tasks. At the Conference on Robot Learning (CoRL) 2025 in Seoul, NVIDIA highlighted Cosmos Reason’s role in enabling robots to handle ambiguous or novel instructions through multi-step inference and AI reasoning, akin to how language models process text. This capability is
roboticsAIphysics-engineNVIDIArobot-simulationmachine-learningIsaac-GR00TTackling the 3D Simulation League: an interview with Klaus Dorer and Stefan Glaser - Robohub
The RoboCup Soccer 3D Simulation League is a competition where teams control simulated Nao robots in an 11 versus 11 soccer match, with detailed motor-level control mimicking real robots. Unlike the 2D Simulation League, which focuses on simplified physics and team strategy, the 3D League aims for a more realistic robotic simulation. Currently, the league uses SimSpark, a simulator developed in the early 2000s that balances physical realism with the computational limitations of its time. However, SimSpark has limitations such as complexity, custom robot models, and communication protocols that hinder wider adoption and make it difficult to translate simulations to real robots. To address these issues, Stefan Glaser has been developing a new simulator based on the MuJoCo physics engine, which has recently become popular in machine learning communities due to its open-source availability and standardized model specifications. MuJoCo supports dynamic manipulation of the simulation environment, a key feature needed for RoboCup’s setup where agents join and form teams
roboticsrobot-simulationRoboCup3D-simulationNao-robotsrobot-controlrobotics-competitionFANUC unveils ROBOGUIDE v10 robot simulation software - The Robot Report
FANUC America has released ROBOGUIDE v10, its most advanced version of offline robot programming and simulation software designed to enhance automation design and implementation. The software enables manufacturers to create, program, and simulate robotic workcells in 3D without physical prototypes, reducing costs and improving accuracy. Key improvements in ROBOGUIDE v10 include new virtual reality capabilities for immersive workcell visualization, a high-performance 64-bit architecture for better processing of complex systems, and a modernized user interface with ribbon-style toolbars and drag-and-drop robot definition to streamline navigation and setup. Additionally, ROBOGUIDE v10 offers enhanced support for native CAD imports, simplifying integration and optimization of automation layouts. The software is available alongside the previous version under a shared license, allowing existing users to access the latest features. FANUC supports users with tutorial videos, engineer-guided tips, and technical resources via its Tech Transfer website, aiming to assist students, customers, and integrators in maximizing productivity and reliability
roboticsrobot-simulationFANUCautomation-softwareoffline-programmingvirtual-realityindustrial-robotsUR Studio simulator validates cobot setups before deployment
Universal Robots (UR) has launched UR Studio, a new online simulation tool designed to validate collaborative robot (cobot) setups before deployment. Built on UR’s open, AI-ready PolyScope X software platform, UR Studio enables users—including customers, partners, and integrators—to create accurate 1:1 virtual simulations of workcells. The tool allows testing of robot movements, reach, speed, workflow, and cycle time calculations, helping users optimize efficiency and performance. UR Studio supports interaction with UR’s robot portfolio and various components such as pallets, machines, workpieces, and end effectors, with options to customize or import elements to closely mimic real-world environments. This capability helps identify potential issues early, reducing downtime and costly adjustments. The simulator is free, browser-based with no installation needed, and currently offers templates for common applications like machine tending, screwdriving, palletizing, and pick-and-place, with plans to expand. UR Studio is initially available in English, with German, Spanish,
robotcollaborative-robotscobotsrobot-simulationautomationUR-Studioindustrial-robotsNVIDIA Isaac, Omniverse, and Halos to aid European robotics developers - The Robot Report
At the GPU Technology Conference (GTC) in Paris, NVIDIA announced new AI-driven tools and platforms aimed at advancing robotics development, particularly for European manufacturers facing labor shortages and sustainability demands. Central to this initiative is NVIDIA Isaac GR00T N1.5, an open foundation model designed to enhance humanoid robot reasoning and skills, now available on Hugging Face. Alongside this, the company released Isaac Sim 5.0 and Isaac Lab 2.2, open-source robotics simulation frameworks optimized for NVIDIA RTX PRO 6000 systems, enabling developers to better train, simulate, and deploy robots across various applications. NVIDIA’s approach for the European robotics ecosystem revolves around a “three-computer” strategy: DGX systems and GPUs for AI model training, Omniverse and Cosmos platforms on OVX systems for simulation and synthetic data generation, and the DRIVE AGX in-vehicle computer for real-time autonomous driving processing. This scalable architecture supports diverse robotic forms, from industrial robots to humanoids. Several European robotics companies are actively integrating NVIDIA’s stack—Agile Robots uses Isaac Lab to train dual-arm manipulators, idealworks extends Omniverse Blueprints for humanoid fleet simulation, Neura Robotics collaborates with SAP to refine robot behavior in complex scenarios, Vorwerk enhances home robotics models with synthetic data pipelines, and Humanoid leverages the full NVIDIA stack to significantly reduce prototyping time and improve robot cognition. Overall, NVIDIA’s new tools and collaborative ecosystem aim to accelerate the development and deployment of smarter, safer robots in Europe, addressing critical challenges such as labor gaps and the need for sustainable manufacturing and automation solutions.
roboticsartificial-intelligenceNVIDIA-Isaacrobot-simulationautonomous-robotsindustrial-robotsAI-driven-manufacturing