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@Nikobar

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Since 06.06.2026

ROS 2 and Ubuntu- Jazzy vs Lyrical(reddit.com)
I have done quite a bit of work, including most of my Master's thesis, with ROS Noetic and Ubuntu 20.04, which worked well. However, I recently got a Raspberry Pi 5 that I want to use for various personal robotics projects, and the Pi 5 doesn't support anything below Ubuntu 23.10. I'm currently debating between installing ROS 2 Jazzy Jalisco with Ubuntu 24.04 or ROS 2 Lyrical Luth with Ubuntu 26.04. Both have similar EoL (2029 vs 2031), so I'm curious if any of you in the robotics community have found major advantages or disadvantages between the two distros. Any reason not to choose Lyrical, since it's newer? Thanks for all your wisdom! submitted by /u/Dying_Of_Board-dom [link] [Kommentare]
Threecrate: A high-performance 3D point cloud and mesh processing library built in Rust, with Python bindings.(reddit.com)
Have been building this project for a while now, and would love to get eyes on it. Will appreciate it if you could try it out in actual workflows and give me feedback so I can decide the direction to move in. Currently it has been benchmarked against OPEN3D v0.19 on the same machine, using full-resolution frames from three real datasets: TUM RGB-D, KITTI, and nuScenes-mini. In the table below, higher is better — a ratio above 1 means ThreeCrate is faster than Open3D. Workload How ThreeCrate compares Reading files (raw float parsing) 1.8x–2.2x faster Voxel downsampling (CPU) 1.6x–1.8x faster Voxel downsampling (GPU, wgpu) 1.8x–2.9x faster (vs our own CPU path, not Open3D) Normal estimation 0.57x–1.09x (falls behind on big clouds) Single-scale ICP 0.71x–0.99x (falls behind on big clouds) Would appreciate any contributions and feedback for the repo. Link to the repo: https://github.com/rajgandhi1/threecrate submitted by /u/Practical-Dig-4052 [link] [Kommentare]
Agility Takes on AI Generalization and Humanoid Safety as it Looks to Go Public(reddit.com)
Agility Robotics CTO Pras Velagapudi says Digit’s early commercial work is focused on repetitive warehouse and manufacturing tasks like moving totes, unloading AMRs, placing items on shelves, and connecting parts of existing automation systems. He says these are useful “in-between” automation roles where companies do not want to heavily modify infrastructure. The article covers Agility’s partnership with NVIDIA as the first partner for Halos for Robots, NVIDIA’s autonomous safety platform for robots, as well as Agility’s plan to go public through a merger with Churchill Capital Corp. XI, giving the company a $2.5 billion pre-money valuation and $620 million in expected gross proceeds. submitted by /u/Responsible-Grass452 [link] [Kommentare]