NVIDIA Isaac Sim
PulseAugur coverage of NVIDIA Isaac Sim — every cluster mentioning NVIDIA Isaac Sim across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New GAUGE benchmark tests physical fidelity in AI simulators
Researchers have introduced GAUGE, a new benchmark designed to evaluate the physical fidelity of both simulation engines and generative video world models. This benchmark is grounded in real-world physics and includes 2…
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New Spatial-IQ framework tests LLM spatial reasoning capabilities
Researchers have introduced Spatial-IQ, a new hierarchical framework designed to deconstruct and test the spatial reasoning capabilities of multimodal large language models (MLLMs). This framework breaks down object cou…
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New RL frameworks bridge sim-to-real gap for quadruped locomotion · 2 sources tracked
Researchers have developed new reinforcement learning (RL) frameworks for quadrupedal locomotion, addressing the sim-to-real gap. The first approach, utilizing NVIDIA's Isaac Sim and Isaac Lab, achieves zero-shot sim-to…
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EVIS plugin generates physics-grounded event camera data for NVIDIA Isaac Sim
Researchers have developed EVIS, a new plugin for NVIDIA Isaac Sim that generates physics-grounded event camera data. This tool addresses the scarcity of labeled event-camera data by creating high-rate, fully labeled ev…
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New GraspIT dataset bridges sim-to-real gap for robotic grasping
Researchers have introduced GraspIT, a new dataset designed to improve robotic grasping by bridging the gap between simulation and real-world applications. The dataset features tabletop scenes with photorealistic RGB-D …
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New pipeline enhances synthetic-to-real domain adaptation for object detection
Researchers have developed a new pipeline called SmartSDG, built on NVIDIA Isaac Sim and utilizing Physically-Based Shading (PBS), to improve the transfer of object detection models from synthetic to real-world data. Th…
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New benchmark SoftVTBench evaluates robotic manipulation safety
Researchers have introduced SoftVTBench, a new benchmark designed to evaluate robotic manipulation of deformable objects, focusing on both task completion and physical safety. This benchmark, built using NVIDIA Isaac Si…
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New models enhance robot manipulation by integrating vision and state
Researchers have developed several new methods to improve robot manipulation capabilities by better integrating visual information with the robot's state and actions. GeoProp, for instance, is a lightweight adapter that…
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Nuwa Robotics raises millions for 'World Travelers Model' in embodied AI
Nuwa Robotics, a Chinese embodied intelligence company, has secured tens of millions of yuan in angel and seed funding. Founded by Dr. Yang Ruigang, formerly of Baidu's autonomous driving and robotics lab, the company i…
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New pipeline enhances synthetic-to-real domain adaptation for object detection
Researchers have developed a new pipeline called SmartSDG, built on NVIDIA Isaac Sim and utilizing Physically-Based Shading (PBS), to improve the transfer of object detection models from synthetic to real-world data. Th…
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New dataset tackles robotic strawberry harvesting pose estimation
Researchers have developed a new dataset and baseline for 6D pose estimation specifically for robotic strawberry harvesting. This dataset, comprising 12,040 real-world images collected from agricultural fields, addresse…
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Spiking neural network integrates arm and leg control for humanoid robots
Researchers have developed a novel spiking neural network architecture capable of coordinating both arm and locomotor control in humanoid robots. This system integrates force-based arm control with bipedal locomotion, m…
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NVIDIA Isaac Sim gains virtual sensor for 3D surface reconstruction
Researchers have developed VIRTUS-FPP, a novel framework for simulating fringe projection profilometry (FPP) within NVIDIA Isaac Sim. This tool enables the creation of high-fidelity synthetic data for 3D surface reconst…
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Nvidia and LG Group partner to build AI factories
Nvidia has partnered with LG Group to build AI factories, aiming to enhance LG's core businesses including robotics, autonomous driving, and data centers. The collaboration will leverage Nvidia's Isaac Sim and GR00T fra…
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XenseRobotics champions tactile sensing for real-world robot operations
XenseRobotics (千觉机器人) presented at the ICRA 2026 Workshop, emphasizing the critical role of tactile sensing for embodied AI in real-world operations. The company showcased its integrated approach, which includes high-pr…
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Tianji Intelligent to Showcase New Gento Robots at ICRA 2026
Tianji Intelligent has announced it will be a Platinum Partner at ICRA 2026 in Vienna, showcasing its new Gento series of force-controlled humanoid robot platforms. The company will feature three distinct models: Gento …
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Interstellar Light Year to debut GAIA Hand 20 at ICRA 2026
Shenzhen Interstellar Light Year Technology will showcase its GAIA Hand 20, a modular robotic hand with 20 degrees of freedom, at the ICRA 2026 conference in Vienna. The hand features a highly anthropomorphic design, op…
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NVIDIA Isaac Lab RL users sought for best practices
A Reddit user is seeking to understand the current practices for using NVIDIA Isaac Sim and its reinforcement learning module, Isaac Lab. The user finds Isaac Lab's documentation lacking and is concerned about the setup…
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Robotic adaptation framework CoRMA uses semantic context for assembly
Researchers have developed CoRMA, a novel framework for robotic motor adaptation designed for force-dominant assembly tasks. This system utilizes a compact 6D semantic contact context, inferred online using a causal Tra…
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New benchmark tests AI navigation from implicit human intent
Researchers have introduced IntentionNav, a new benchmark designed to test embodied AI agents' ability to navigate and find objects based on implicit human instructions. Unlike previous benchmarks that specify target ob…