Hi everyone, I’m a historical swordfighter (HEMA practitioner), and while I’m not a computer vision engineer or a roboticist, I’ve been reading a lot about the current bottlenecks in embodied AI, specifically around the Sim2Real gap and thin-object tracking. It occurred to me that high-level swordfighting is basically a perfect nightmare scenario for computer vision. We move at maximum athletic output, we shift our weight rapidly in non-linear ways (great for bipedal balance testing), we are completely covered in thick, bulky black jackets that hide our joints, and our steel blades move at 80mph, dropping below sub-pixel resolution or causing massive motion blur. I think it would be cool to have a computer vision scoring system for tournaments so I'm working to put together a mini-dataset using a synchronized multi-view setup (120/240fps) to map 100 hyper-trimmed clips of these specific physics edge cases. Since I'm non-technical, I used some AI assistance to help me structure what an AI-ready dataset card should look like, and I've hosted the placeholder page on Hugging Face to test the schema before I start shooting video with my clubmates. Here is the JSON line structure I'm currently planning to annotate each video with: { "clip_id": "hema_ls_001", "meta": { "weapon": "Longsword", "source_text": "Joachim Meyer (1570)", "capture_fps": 120 }, "time_stamps": { "start_frame": 120, "blade_contact_frame": 165, "recovery_end_frame": 210 }, "biomechanics": { "initial_guard": "Right Vom Tag", "ending_guard": "Left Ochs", "footwork_type": "Passing step offline", "strike_trajectory": "Diagonal Oberhau", "edge_alignment": "True edge" }, "computer_vision_hazards": { "occlusion_rating": "High (Crossed arms, bulky torso jacket)", "motion_blur_expected": true }, "frame_annotations": [ { "frame_index": 165, "is_contact_event": true, "keypoints_2d_pixel_coordinates": { "fencer_a_right_wrist": [412.5, 780.2], "fencer_a_left_wrist": [430.1, 795.4], "fencer_a_head_center": [425.0, 510.8], "fencer_b_right_wrist": [580.4, 765.1], "fencer_b_left_wrist": [565.0, 750.3], "sword_a_guard": [455.0, 810.0], "sword_a_tip": [890.4, 320.1], "sword_b_guard": [540.2, 790.6], "sword_b_tip": [310.5, 450.2] }, "segmentation_masks": { "sword_a_polygon_points": [[455.0, 810.0], [460.1, 805.2], [888.2, 322.5], [890.4, 320.1], [455.0, 810.0]], "occluded_pixels_detected": true } } ] } My questions for the researchers here: Does this metadata structure actually give you what you need to test trajectory prediction or pose estimation? Are there any specific keypoints (like explicit crossguard coordinates or footwork velocity metrics) that your models are starving for that I should add to the annotations while I'm doing the manual work? You can check out the full dataset description card and leave feedback or join the beta waitlist directly on Hugging Face here: https://huggingface.co/datasets/benito87/longsword-spatial-physics-100 I want to make sure this is actually useful, so any brutal feedback on the structure or parameters is highly appreciated. submitted by /u/fonssagrives [link] [Kommentare]

Hello everyone, today we are opening Lucy to the r/robotics community. Lucy is an open-source robotics platform built on ROS 2 with a simple goal: One platform to rule them all. We've spent months building the foundation, and now we need your feedback to help shape what comes next. What is Lucy? Lucy provides a unified control layer for robotic systems, making it easier to configure, monitor, and control robots through a common ecosystem. The current beta includes: RViz and Gazebo integration URDF support 3D robot visualization Real-time joint control powered by ros2_control Animation creation and playback tools Webcam-based hand teleoperation Extensible ROS 2 architecture for custom interfaces and applications Try out our demo online ! 🌐 Lucy Control Panel Demo Help us with beta testing Follow the guide to install the full beta: 📋 Beta Test Guidelines And the most important for improving the project, give us your honest feedback please 🐞 Submit Feedback 📦 GitHub Repository 💬 Join our discord server to stay updated and discuss about the project We'd love to hear your thoughts, this is only the beginning ! Welcome to Lucy ! The Lucy Team ❤️ submitted by /u/sambrus_ [link] [Kommentare]

Hey everyone, I'm looking for a few people who enjoy robotics and might be interested in collaborating on an open-source robot project. I'm mainly looking for help with things like: PCB design 3D printable chassis Firmware/code Electronics planning I'll be sourcing the parts and assembling it myself. The goal is to create a low-cost robot that anyone can build and improve. This isn't a paid project, just something for fun and to learn together. If you've been wanting to work on a community robotics project or have ideas you'd like to contribute, I'd love to hear from you. Feel free to comment or send me a DM if you're interested. submitted by /u/Worried-You-7003 [link] [Kommentare]