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NVIDIA Isaac ROS 5.0, released at ROSCon 2026, enhances open source robotics development with agentic workflows, GPU acceleration, and new skills for perception and manipulation. It supports ROS Lyrical and Ubuntu 24.04, enabling developers to build and deploy high-performance robotics applications using NVIDIA's accelerated computing and AI models.
Universal Robots has launched Gen 7, its seventh-generation robotics platform, featuring a reengineered control box, teach pendant, and tool flange. The platform includes new g-Series robot arms, the CB7 Core controller, PolyScope X operating system, and TP7 teach pendant, all aimed at improving AI integration, safety, and ease of use in industrial automation.
Universal Robots launched Gen 7, its seventh-generation robotics platform, featuring AI-ready hardware, a reengineered control box, and PolyScope X software. The platform aims to simplify AI deployment in industrial automation with enhanced safety, cybersecurity, and open architecture.
Unitree@UnitreeRoboticsSignalEditorial score6868
This repository contains 3D-printable hardware modifications for the Unitree G1 robot, including grippers, head cameras, and backpack enclosures. It includes STL files and assembly instructions for physical customization without firmware or control code.
Robotiq has released official ROS 2 packages for their adaptive grippers, providing a drop-in replacement for existing community-driven packages. These packages support multiple ROS distributions, include hardware validation, and offer improved communication and control features for advanced robotic applications.
NVIDIA introduces Cosmos 3, an open-world model family for physical AI, combining vision reasoning, world generation, and action prediction. Available under the Linux Foundation’s OpenMDW 1.1 license, it enables post-training and adaptation for robotics, autonomous vehicles, and vision AI systems. The model ranks highly in benchmark evaluations and is part of NVIDIA’s broader physical AI stack.
This article explains how tactile sensing allows robots to detect and correct off-center grasps by analyzing force distribution across fingertips. It describes a demonstration using a 2F-85 gripper with TSF-85 tactile sensors, which repositions and regrasps objects to achieve a balanced grip. The method improves grasp stability and reduces the need for reorientation or regrasping.
NVIDIA has released an open-source, GPU-accelerated Medical Physics Simulation framework as part of its Isaac for Healthcare platform. This tool enables developers to model anatomy-device interactions, generate complex scenarios, and train robot policies in simulation, significantly reducing development time and improving regulatory readiness.
Robotiq's TSF-85 tactile sensor is engineered to meet the performance standards of the human hand by capturing both static pressure and dynamic contact events. It uses capacitive sensing and integrates an IMU for orientation, with calibration routines to ensure consistency across multiple units.
NVIDIA and Hugging Face are releasing the NVIDIA Isaac GR00T 1.7 model and Isaac Teleop framework into LeRobot, an open-source robotics library, to provide developers with shared tools for training, evaluating, and deploying robot foundation models. NVIDIA Cosmos 3, a frontier world model for physical AI, is also set to be integrated soon.
Unitree@UnitreeRoboticsSignalEditorial score72721/ Introducing HIW-500 (Humanoids-in-the-Wild 500): the largest open-source humanoid teleop dataset collected in real homes Built w/ @UnitreeRobotics @huggingface across 12 homes in Southeast Asia, it covers: > 500+ hrs > 23K+ episodes > 10+ TB > 10+ household tasks
PickNik Robotics announces the release of MoveIt Pro, a commercial robotics software platform that extends the open-source MoveIt project. The update includes support for AI models like Gemini, SAM3, and Codex, as well, enhancements to visual reasoning, trajectory stitching, and ROS compatibility. The platform is designed for unstructured environments and supports a wide range of robotic arms, t
Universal Robots and Scale AI have unveiled the UR AI Trainer, an imitation learning system designed to accelerate AI model training by capturing high-fidelity, synchronized robot and vision data. This system enables direct lab-to-factory AI training using UR robots with Direct Torque Control and force feedback, addressing challenges in data capture and hardware fragmentation. The collaboration also includes a large-scale industrial dataset and showcases real-world robotic foundation model performance.
NVIDIA has released SOMA-X v0.3.0, a unified framework for parametric human body models that decouples identity representation from pose parameterization. The release supports six identity backends including SOMA-shape, SMPL, and SMPL-X, and introduces native hand layers with interoperability for user-supplied MANO models. Designed for commercial use under the Apache 2.0 license, the model enables real-time simulation pipelines on NVIDIA GPUs with throughput exceeding 7,000 meshes per second on an A100. The core pipeline relies on closed-form analytical modules rather than learned neural networks, though an optional shallow MLP can be enabled for surface correction.
Helix 02, a single neural system that controls the full body directly from pixels, now performs end-to-end living room cleanup, including tasks like cleaning surfaces, handling flexible objects, and bimanual manipulation. The system learns new capabilities through data without requiring new algorithms or specialized engineering.
LeRobot has released a Vision-Language-Action (VLA) model, π₀.₅, trained on robot demonstrations and multimodal data for long-horizon tasks. The model supports flow-matching for action prediction and is compatible with the original reference code. It is intended for fine-tuning on specific use cases and includes both inference and training examples.
PickNik announces the release of MoveIt Pro, a commercial robotics software platform built on the open-source MoveIt project. The update highlights new features such as support for FANUC and Kawasaki robots, integration with Meta Quest for AI data collection, Diffusion Policies for end-to-end AI training, and enhanced simulation capabilities with IMU and 3D Lidar support. The platform is designed for unstructured environments, providing tools for motion planning, grasping, perception, and behavior sequencing.
LeRobot has released π₀.₅, a Vision-Language-Action (VLA) model with open-world generalization capabilities, trained on robot demonstrations and multimodal data. The model supports flow-matching for action prediction and is intended as a base model for fine-tuning. Code and documentation are provided for inference and training.
NVIDIA has released the GR00T N1.5 model, a cross-embodiment foundation model for generalized humanoid robot reasoning and skills. The model can be fine-tuned using teleoperation data from a SO-101 arm, with a detailed tutorial provided for developers. The release includes instructions for dataset preparation, fine-tuning, evaluation, and deployment.
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