My background is a programmer. Recently I decided to build a robot for chatting and daily use. For chatting, it's easy to implement by connecting it into a LLM. But that's all about software stuff, you can just implement it on a phone. So I want to make it movable. But I don't know what can I do in daily life for its mobility. Sorry for my poor imagination, all I can think out is that I can make it a new born duck, so it can always follow me when I walk around. So what kind of robots are you building by yourselves? Can anyone help me to get some cool ideas about my robot? My budget is about 500~1000 dollars. Feel free to comment or send a DM to me. Thanks! submitted by /u/cocoyoung [link] [Kommentare]
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Announcing the new RealSense SDK v2.58.3 Beta Release! https://github.com/realsenseai/librealsense/releases/tag/v2.58.3 Features include: SDK: - Person Detection enhancements: USB support added (in addition to DDS), improved distance accuracy (center-of-mass), record/playback support - Improved Close Range Depth: now available on D555 (USB and DDS) and GMSL SKUs, exposed as new embedded filter API, library loaded dynamically at runtime. - React-based Viewer preview: 3D point cloud view, firmware update from .bin file, metadata panel, connection-state detection. - Native ROS2 playback: .db3 recordings playback now supported. - MIPI/GMSL: added RGB controls (saturation, sharpness, white balance, power-line frequency). - Many bug fixes and stability D4xx FW: - Auto-Exposure fixes — D457 exposure stuck after FPS switch, RGB AE ROI rejected on D457 GMSL, D401 AE slave-mode convergence - New depth readout shaping control (XU) - RGB ISP controls exposed for MIPI/GMSL (I2C slave host routing) - External sync enabled for D430/D415 GMSL+ simplified inter-camera sync API (3-value) - D436 ISP firmware update (RealTek v3614) - Stability— preset apply deferred out of UVC control handler, D430 GMSL no-frame fix at 720p@5fps, I2C slave auto-recovery D555 FW: - ROS2 Depth Filters: Temporal, Decimation, and Min-Z filters now configurable directly via ROS2 parameters. Fixed stability issue when Temporal and Decimation are enabled together. - PointCloud Support: firmware-generated point clouds published over ROS2 PointCloud2 (topic /realsense/D555__Depth_Color_Points, enabled via Depth.option.Enable_PointCloud) - no host-side 3D reconstruction needed. - Object Detection Distance: new runtime option adds per-detection distance to OD results, without requiring an aligned-depth stream. - Emitter On/Off: improved strobe timing stability, state preserved across toggles, reduced exposure/gain instability on mode changes. - Streaming and Parameters: improved ROS2 parameter handling and derived- MIPI Driver: - JetPack 7.2 (L4T R39.2) bring-up — JP7.2 support on Advantech AGX Thor GMSL (RSDSO-21610), plus single-camera Fangzhu (FG12-16CH) overlay bring-up on AGX Orin (RSDSO-21616). - Advantech Thor multi-camera scaling — 6-camera (RSDSO-21522) and 8-camera configurations on Advantech Thor. - New V4L2 controls — RGB ISP controls exposed on the GMSL stack (RSDEV-5918), AE-type control (RSDSO-21570), and a readout-shaping XU control (RSDSO-21508). - External sync expansion — external sync enabled for D41X (D415) cameras (RSDSO-21490); sync mode simplified to a 3-value public API (RSDEV-6449); ext_sync_gen.py allows re-enable while already enabled. - Reliability fixes — ds5_hwmc_wait bounded by a wall-clock deadline (RSDEV-12089), MIPI DFU recovery after an interrupted FW upgrade (RSDSO-21588), and a unified YUV422 1X16 Tegra format. submitted by /u/Chemical-Hunter-5479 [link] [Kommentare]
Trying to make an obstacle avoiding robot for school competition, Tried everything but dont know why its doing this and not turning. submitted by /u/PalpitationGlad4356 [link] [Kommentare]
Hey everyone, I built CalibON, a browser-based camera calibration tool intended to make intrinsic camera calibration more accessible for ROS and computer vision projects. It provides a guided workflow where you can: Configure your camera resolution and checkerboard dimensions Upload calibration images Detect and inspect checkerboard corners Review frame quality, image coverage, and rejected images Run camera calibration using OpenCV Inspect the camera matrix, distortion coefficients, and per-frame reprojection errors Preview undistortion results Export calibration data as ROS camera_info YAML, OpenCV JSON, Kalibr YAML, or a full report The frontend is built with React and TypeScript, while the calibration backend uses FastAPI and native OpenCV. I mainly built it because camera calibration tools often feel either tied to a specific environment or difficult to inspect visually, especially for beginners. Live app: https://calibon.vercel.app GitHub: https://github.com/musabali314/CalibON The current version supports checkerboard-based pinhole calibration. ChArUco, AprilGrid, fisheye, stereo calibration, webcam capture, and saved projects are possible future additions. I would really appreciate feedback from people who regularly work with ROS cameras: Are the ROS exports structured correctly for your workflow? What calibration features are currently missing? Would support for live ROS image topics or rosbag extraction be useful? Are there particular datasets or cameras I should test it with? I’ve attached a short demo showing the complete workflow. submitted by /u/TaxOk8369 [link] [Kommentare]
I've been building a home robotic assistant with a goal of keeping it quiet, smooth, and simple to use. I plan to make both the hardware and software open source. I'm currently experimenting with voice control, remote operation, health monitoring integration, and optional camera tracking. It's still a work in progress, and I'd love to hear what features or improvements you'd find most useful. submitted by /u/Training_Income353 [link] [Kommentare]
Hi everyone, My friends and I are exploring the idea of creating beginner-friendly learning resources that explain robotics mathematics and classic robotics papers with a strong focus on intuition, derivations, and practical implementation, not just the final equations. The goal is to bridge the gap between reading a paper and actually understanding and implementing it. Topics could include state estimation, SLAM, optimisation, control, motion planning, and computer vision. Before investing time in building these resources, we would love to understand whether the community would find them valuable. If you have a few minutes, we shall really appreciate your feedback through this short survey: Survey: The Robotics Resource I Wish I Had If you know others who might be interested, students, researchers, educators, or robotics engineers, please feel free to share it with them as well. Every response will help us build something genuinely useful. Thank you! submitted by /u/SaltyWork4039 [link] [Kommentare]
A smart robotic goalkeeper that tracks a ball in real-time using OpenCV and dynamically moves a servo-controlled keeper arm to block shots. I hope some of you find this project interesting—or maybe even inspiring for your own builds. Any feedback or suggestions are very welcome! GitHub: https://github.com/chayanforyou/Robokeeper-Firmware submitted by /u/chayanforyou [link] [Kommentare]