Today we're highlighting the key features of the Origin One – our powerful mobile ground robot revolutionizing R&D in robotics! 👀 Key Features: • NVIDIA-Powered: Equipped with an NVIDIA Jetson Orin NX chip for high-performance processing and real-time autonomous navigation. • Effortless Payload Integration: Easily adapt the robot with your own equipment for custom applications. • Open-Source Ready: Compatible with Gazebo and RVIZ, making it ideal for simulation and visualization. • Flexible Programming: Use ROS 2 and C++ via our SDK to tailor the robot’s functions to your needs. • Intuitive UI: Simple, user-friendly mission planning for quick deployment. Accelerate your robotic business case with the Origin One! 🌐 #robotics #R&D #automation #opensource #NVIDIA
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Time to migrate your robot simulation! With Gazebo classic's EOL arriving in a few months' time, it's time to explore the various ROS2-compatible simulation possibilities for your projects. There are several alternatives: • Gazebo Sim: A safe choice for teams used to Gazebo Classic and who want a similar experience (Migration Guide available). • O3DE: An open-source 3D engine multipurpose that propose a ROS2 integration and is still growing in popularity. • Isaac Sim: A robotic simulator developed by Nvidia, featuring photo realism and supplied with numerous Nvidia composites. There is also Webots and Mujoco but I haven't tested them yet, so I'd be interested in your feedback. Which simulator will you use for your ROS2 projects? If you would like to share your experiences with these simulators, or with others I haven't mentioned, let a comment 💡 Follow for more ROS2 and robotics content! Let’s build a stronger ROS2 community together 🚀 #ROS2 #Robotics #Community #Simulation
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For developers working on #robotics projects with vision processing, integrating a Pi camera with #ROS2 Humble on a Jetson Nano seamlessly could be a fundamental step, in preparing the ready-to-use kit for further robotics development. Here's the step-by-step guidance from Kabilan Kb about how to connect the camera with NVIDIA Robotics Jetson Nano developer kit, and how to build ROS nodes for image processing in robotics applications 👉 https://lnkd.in/g7APpTt8 Additionally, discover the compatible CSI camera list for Jetson devices (Orin NX/Orin Nano/Nano): https://lnkd.in/gc6ftDpm
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It is always fun to read comments or posts about Robotics simulator comparisons. I have been using many simulators over the last 8 years, and one thing has not changed. A general sense of confusion in the industry/academia when choosing a simulator for a Robotics application. The most obvious takeaways are: 1. There is no single best solution to fit all problems. Each domain has its simulator. 2. The current technological gap for decent simulators is a legitimate business case for companies to provide value. 3. As a user, you should be aware of the solution's limitations and your requirements. 4. If you are a company, you should also be aware of the software and hardware lock-in of the commercial solutions. Before choosing your simulation stack think deeply about these questions: 1. Why do I need a simulator? 2. What are the most important physics phenomena that I want to simulate? 3. What is the scale of use for my simulator? 4. What are my requirements for software complexity and integrations? Don't forget Occam's razor while answering these questions :)
Gazebo or Isaac Sim The robotics simulation tools are undergoing a massive shift with the latest push from NVIDIA towards building a community around Isaac sim and many companies migrating to it. The choice remains unclear for many novice users. Here are some things I’ve learned working with both: * Isaac sim offers significantly better photo realism, which is key for data collection and model training. * Isaac sim offers massive parallelization capabilities over multiple GPUs, which makes it advantageous for RL pipelines, where simulation scale is important. * Physics of Isaac sim are still lacking for modeling certain types of contacts in a stable manner, but it’s under active development. * Gazebo has been a traditional choice due to its straight forward ROS integration. However, the latest versions of Isaac sim offer bridges to ROS2. I expect this interface to improve as many robotics companies are actively using it. In conclusion, Gazebo has had a good run and been the default choice for many years. But, Isaac sim is definitely gaining momentum with a fast growing community. Would love to hear other perspectives from folks who have used either or both. #isaacsim #robotics #simulation #gazebo #ros #roboticsengineering
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Learn how to visualize an Isaac Sim simulation in real time using Foxglove’s custom extension. Let's go! 🤖 🚀 Many robotics engineers use NVIDIA Omniverse’s popular Isaac Sim to simulate and test robotic systems in a realistic 3D environment, enabling effective algorithm development and validation without the need for physical prototypes. While most simulation environments offer a UI to visualize the simulated “ground truth,” it’s also valuable to view the simulation from the robot’s perspective. This provides key insights into the robot’s decision-making processes and allows for closer monitoring of its interactions with the environment. That’s why we created an extension to seamlessly connect Foxglove to Isaac Sim. Link to the tutorial in the comments. 👇 #IsaacSim #Robotics #DataViz #Simulation
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Reduce the cost of your computer vision model testing process by leveraging NVIDIA Omniverse and Edge Impulse. Use a photo-realistic environment as the first step in understanding how your ML model behaves in the real world, by using a variety of high-resolution 3D renders and simulated scenes. Watch as David Tischler highlights the workflow in this quick demo video. 📽 Want to learn more? Simply reach out and a member of our team will get in touch with you! #EdgeAI #MachineLearning #Omniverse NVIDIA AI NVIDIA Robotics
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Accelerate your #robotics solutions with Isaac ROS GEMS optimized for NVIDIA GPUs and Jetson. These hardware-accelerated packages offer seamless integration into ROS 2-based applications. Don't miss this Jetson and Robotics Developer Day session at #GTC24.
Introduction to AI-Based Robot Development with Isaac ROS
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Accelerate your #robotics solutions with Isaac ROS GEMS optimized for NVIDIA GPUs and Jetson. These hardware-accelerated packages offer seamless integration into ROS 2-based applications. Don't miss this Jetson and Robotics Developer Day session at #GTC24.
Introduction to AI-Based Robot Development with Isaac ROS
share.nvidia.com
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Gazebo or Isaac Sim The robotics simulation tools are undergoing a massive shift with the latest push from NVIDIA towards building a community around Isaac sim and many companies migrating to it. The choice remains unclear for many novice users. Here are some things I’ve learned working with both: * Isaac sim offers significantly better photo realism, which is key for data collection and model training. * Isaac sim offers massive parallelization capabilities over multiple GPUs, which makes it advantageous for RL pipelines, where simulation scale is important. * Physics of Isaac sim are still lacking for modeling certain types of contacts in a stable manner, but it’s under active development. * Gazebo has been a traditional choice due to its straight forward ROS integration. However, the latest versions of Isaac sim offer bridges to ROS2. I expect this interface to improve as many robotics companies are actively using it. In conclusion, Gazebo has had a good run and been the default choice for many years. But, Isaac sim is definitely gaining momentum with a fast growing community. Would love to hear other perspectives from folks who have used either or both. #isaacsim #robotics #simulation #gazebo #ros #roboticsengineering
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In January, I began exploring NVIDIA's Isaac Sim, and I've successfully completed three courses: "Introduction to Robotic Simulations in Isaac Sim", "Assemble a Simple Robot in Isaac Sim", and "Getting Started with USD for Collaborative 3D Workflows." Here's my take: - "Introduction to Robotic Simulations in Isaac Sim": Priced at $30, this might not be the ideal starting point for beginners. - "Getting Started with USD for Collaborative 3D Workflows": This is beneficial for grasping the USD structure, though the GUI of Isaac Sim can be quite overwhelming. For those new to the platform, I suggest starting with the tutorials available on Isaac Sim's official site, particularly sections 1 to 4. This foundation can be extremely helpful before diving into additional courses. By the way, the course "Assemble a Simple Robot in Isaac Sim" is included as one of the tutorial sections. You can find the tutorials here: https://lnkd.in/ef5xt_RQ #isaacsim #omniverse #nvidia #robotics #digitaltwin
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