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Wow, micro quad can be flashed to Ardupilot too???? Can't wait to try it,,, go go go keep up the good work developers 🎉🎉 wish you all the best 🎉🎉🎉

I am trying to find more info on the U-Center2. Somehow, it found its way into my system. Is it a GPS program, and will it work with any GPS unit? All I need it for is, if someone or thing gives a Lat/Long, I want to be able to punch it in and locate on a world map. I work emergency Comms for the USCG AuxNet and at times need to find a spot on the system, before its sent via email which is a joke at times.

Not work for me

Awesome location

Hi bro I love Drone so much. I need to build my own drone just like DJi Drone. I need to build a Drone company in my way. I need to. I need to create my own drone OS and flight controller and everything is my own way so how is my roadmap? How should be my roadmap? Please help me.

Great can anyone help me i am trying to make a stm32h723 fc

Nice job! Looks really cool

This is really helpful. Thanks!

This is awesome work you guys.

How do you get "X accel" ? At which point should you choose it?

Have you tried other feature detection algorithms like SIFT, ORB, SURF etc? Also how much will the type of terrain affect the accuracy of the satellite map matching? Example effect of regions like repeating building patterns where the features can give false positives. Or regions like deserted land where the features may not match. Also the forest land may change per seasons and not align with an older satellite map.

NICE - The Ardupilot Team is Great and invaluable, my special thanks to Randy Mackay/

seems really fun. Good job!

Very nice, yesterday once more

Excelent work, and presentation. Look forward to hearing how well it works for your net competition :)

Why there are 2 planes on the map, the red and the white. What is their meaning?

So the output is 4hz but whats the input rate (frame rate)for the algorithm

It's clear, they photoshopped away the rails they built in the air😂😂😂😂. The tracking is amazing, congrats.

... зачем он надел трусы на голову ???

Thanks :D

For the love of god can you guys please improve the user experience of ardupilot it is an utter shit show

Thank you, amazing work

Great, you made the world easier. Thank you

Thank you, Nathaniel, for such an insightful presentation! It's impressive to see the journey from simulation to real-world flight with the prototype UAV. Your approach with Gazebo and ArduPilot for dynamic simulation shows great potential, especially in refining complex control models for weight-shift aircraft. The miniaturized version and the use of reinforcement learning to address control challenges are particularly innovative. Looking forward to seeing more advancements in the greenhouse gas detection project and your other collaborations. Keep up the fantastic work!

Thank you for sharing.

Wow, what an insightful session, Bill! 🤩 The depth of explanation on the system identification process, especially distinguishing between transfer function estimation and state-space modeling, was incredibly valuable. 🚁 I really appreciate the demo on setting up the models and your tips on data conditioning, like using frequency sweeps and ensuring time history data continuity. 🔄 This is an invaluable tool for anyone working on vehicle flight dynamics or actuator modeling. Huge thanks to the team and the Google Summer of Code student who contributed to making this accessible! 🙌👏

Excellent work ! What do you think is the reason for the error in positioning the payload at touchdown? Is it more a problem in drone control and limitation in the ability of the controller to adjust the drone position according to the desired position of the payload or is the information about the position of the payload not accurate enough? Wouldn't the touchdown accuracy increase if, for example, a precision landing system was used on the payload ? In other words, will the drone be able to “land” the payload within a radius of 0.1-0.4 meters if the current position of the payload relative to the desired point is known with the required accuracy ? (for position system see ruclips.net/user/shortsfUuHL8O0hIA?si=ScL_yTtA586uzAOs )

I would like to learn the flight control algorithms for fixed-wing aircraft. Where should I start?

👍

The package being lowered needs its own stability control or otherwise, it may be blown all over place.

could you please also share the slides?

Hi, could you please share the link to the interface docs about ROS2 interface which lists topic name, topic type and description? The screenshot is presented at timestamp 20.06

I have some queries: 1. Achieving 4Hz output rate was on which computer? Is it on some resource constraint platform like Jetson Nano?

*Sunohara & Shibuya Indoor Flight: A Solution for Autonomous Indoor Drone Navigation* * *0:36** Indoor Drone Applications in Japan:* The presentation highlights the increasing demand for indoor drone applications in Japan, including tunnel monitoring, warehouse inventory, factory inspections, and building patrols. * *2:07** Introducing the IND Drone:* Drone Japan introduces the IND drone, featuring ModalAI's VOXL vision system and customizable payloads. * *3:08** Vibration Mitigation:* Efforts were made to reduce vibrations affecting the VOXL and flight controller through the implementation of dampers. * *3:43** Backup Sensor Integration:* A HereFlow optical flow sensor was added as a backup navigation system, providing additional data like velocity. * *4:47** QGroundControl Integration:* The solution utilizes a customized QGroundControl interface, enabling users to create waypoints for automated navigation on a 2D map of the indoor environment. * *5:22** Indoor Flight Procedure:* The workflow involves scaling and uploading a 2D indoor drawing as a map in QGroundControl, assigning internal coordinates for waypoints, and initiating autonomous flight. * *6:36** Demonstration:* A short demonstration showcases the IND drone's navigation capabilities using a 5-meter grid map, with the drone manually moved to simulate flight. * *8:04** VOXL Confidence Monitoring:* A function was added to monitor the quality of ModalAI's VOXL output, displayed as a confidence rate. * *10:06** Technical Advancements:* Randan, a collaborator on the project, discusses key improvements, including: * *10:51** Object Avoidance in Auto Modes:* Implementing a "simple avoidance" feature to stop the drone upon encountering obstacles. * *11:40** Automatic EKF Source Switching:* Enabling seamless switching between VOXL and optical flow data for navigation based on the VOXL confidence level. * *13:54** VOXL Confidence Indication:* Ensuring the VOXL quality metric is visible to the pilot via MAVLink telemetry. * *14:43** Q&A:* The presentation concludes with a Q&A session addressing questions about the VOXL's optical flow capabilities, heat management, EKF source switching smoothness, and performance in dynamic environments. I used gemini-1.5-pro-exp-0827 on rocketrecap dot com to summarize the transcript. Cost (if I didn't use the free tier): $0.02 Input tokens: 16131 Output tokens: 487

*ArduPilot Telemetry Dashboard: A Customizable Web-Based Tool for UAV Monitoring* * *0:08** Telemetry Dashboard Introduction:* Peter Hall introduces the Telemetry Dashboard, a customizable, read-only, web-based tool for displaying UAV telemetry data. It connects via MAVLink over websockets, primarily using Mission Planner as a source. * *0:46** Read-Only Nature:* It's emphasized that the dashboard is not a Ground Control Station (GCS). It cannot send commands or plan missions, solely focusing on data display. * *1:00** User-Defined and Shareable:* The dashboard is fully customizable with user-defined widgets, and layouts can be saved as JSON files for sharing and reloading. * *1:14** Widget Examples:* The presentation includes demonstrations of various widgets, including value displays, graphs, message logs, subgrids for organizing elements, and interactive 3D vehicle models. * *1:33** Online Requirement:* Currently, the dashboard requires an internet connection to load external libraries. Offline functionality is a potential future development. * *7:02** Widget Customization:* Users can edit the code of individual widgets directly, offering extensive control over the displayed information and behavior using Javascript and Plotly. * *13:01** Configuration Saving:* The dashboard warns users about unsaved changes and offers options for downloading both the entire dashboard layout and individual widget configurations as JSON files. * *19:02** Embedding Images:* The presentation demonstrates how to embed images directly into the dashboard, useful for custom logos or vehicle diagrams. * *19:47** Interactive 3D Models:* A widget featuring a 3D model of the aircraft is shown, capable of mirroring control surface movements and potentially reflecting real-time vehicle states like servo positions. * *23:37** Weather Map Integration:* A widget displaying the vehicle's position on an interactive weather map from Windy is demonstrated, allowing for visualizing wind conditions and other weather data at the flight location. * *24:27** Use Cases:* The dashboard is envisioned as a tool for creating custom displays tailored to specific vehicle needs, aiding in monitoring critical parameters and automating checks (e.g., highlighting values exceeding thresholds). * *25:39** Future Development:* Plans for future development include saving dashboard configurations to the vehicle's SD card for automatic loading, and potentially adding limited control capabilities. * *26:58** Q&A:* The presentation concludes with a question-and-answer session, addressing topics such as the possibility of adding interactive elements and chat functionality, clarifying how the dashboard interacts with telemetry sources, and discussing the potential for creating locked-down, customer-facing dashboard configurations. I used gemini-1.5-pro-exp-0827 on rocketrecap dot com to summarize the transcript. Cost (if I didn't use the free tier): $0.03 Input tokens: 18105 Output tokens: 566

Da fehlt eine ordentliche Entstörung vom Regler ueber die Motorkabel. Eventuell noch eine EM-Schirmung des Reglers.

Great advance in the VOXL integration. These are the features I wished for during my development ;-) If anyone interested I have a brand new VOXL CAM for sale at half price , Just PM me for details

*ArduPilot and ROS2 Integration: Progress and Future Directions* * *0:06** Introduction and Motivation:* Ryan Freedman discusses the benefits of integrating ArduPilot with ROS2, emphasizing ROS2's rich ecosystem of tools for autonomy development and the potential to simplify algorithm development and portability across different vehicle platforms. * *1:10** Advantages of ROS2 Integration:* The presentation highlights how ROS2 can accelerate ArduPilot development by leveraging existing tools for logging, data replay, benchmarking, testing, and advanced control algorithms, ultimately lowering the barrier to entry for robotics developers. * *3:02** Current ArduPilot Interfaces:* Freedman reviews existing C++ interfaces to ArduPilot (MAVLink, MAVSDK, MAVROS), noting limitations in platform compatibility and code reusability. * *4:49** Design Goals for ROS2 Interface:* The project aims to provide intuitive and user-friendly tools for ROS2 integration, including standardized messages, consistent coordinate systems, low latency communication, and API stability. * *8:38** ArduPilot SLE for Autonomy Development:* ArduPilot Simulation in the Loop (SITL) with Embedded (SLE) is highlighted as a powerful tool for testing autonomy behaviors in a high-fidelity simulation environment. * *9:43** Progress Update:* The ROS2 integration project has made significant strides, with numerous completed issues and pull requests, enabling functionalities like waypoint navigation and basic control of ArduPilot vehicles from ROS2. * *10:23** Configuration Options:* Users can configure and build ArduPilot with the ROS2 interface using compile-time flags, allowing for customization of enabled channels and publication rates. * *10:55** Hardware Interfaces:* The ROS2 interface supports various hardware communication methods, including serial, ethernet, and PPP. * *11:28** ROS2 Parameter Access:* Users can now set and retrieve ArduPilot parameters directly from the ROS2 command-line interface, enhancing user experience and streamlining parameter management. * *12:40** XML Refs File Removal:* The XML-based configuration file for defining DDS topics has been replaced with a binary entity creation method, improving efficiency and maintainability. * *14:38** Sensor Data Exposure:* The ROS2 interface supports exposing sensor data, including multi-battery and multi-GPS data, leveraging the `frame_id` field for efficient handling of redundant sensors. * *15:41** Control API Development:* The focus is on creating a user-friendly control API, with current support for waypoint and velocity control for various vehicle types. Future work will address complexities in takeoff and mode switching to simplify autonomous missions. * *17:37** Navigation Capabilities:* The ROS2 interface enables integration with the Navigation2 stack, demonstrated through examples of path planning and obstacle avoidance in Gazebo simulation. * *19:13** Documentation Efforts:* Extensive documentation is being developed, including tutorials, setup guides for different operating systems, and interface documentation describing available ROS2 topics and usage examples. * *20:33** AP Geoid Library:* The integration of GeographicLib into ArduPilot aims to address challenges with altitude and datum discrepancies, enabling accurate conversion between geoid and ellipsoid heights for improved terrain following and navigation. * *22:31** Smart RTL and Terrain Following:* A use case involving terrain-related crashes during RTL highlights the need for improved terrain awareness and navigation during autonomous return-to-launch procedures. * *25:20** Integrating Terrain-Aware Planner:* The presentation introduces a ROS2 port of a terrain-aware path planner developed by J Young, designed to address challenges with low-altitude navigation in steep terrain. * *27:17** External Control Library:* A new library aims to minimize code duplication and centralize handling of external commands from GCS, scripting, and DDS, ensuring consistent validation logic across different control sources. * *28:22** Swarming Capabilities:* The ROS2 interface supports swarming in Gazebo simulation, offering opportunities for exploring multi-agent scenarios and distributed control algorithms. * *28:41** Future Development:* Future work includes expanding control interfaces, particularly for fixed-wing aircraft to support Smart RTL, enabling DDS in the custom build server, improving documentation for deploying ROS2 code on companion computers, deeper integration with Navigation2, and continued development of terrain-aware navigation features. I used gemini-1.5-pro-exp-0827 on rocketrecap dot com to summarize the transcript. Cost (if I didn't use the free tier): $0.03 Input tokens: 19531 Output tokens: 911

Chapters: 00:00 Introduction 1:18 The past, and its problems 3:07 MAVLink camera manager 12:04 MAVLink2REST 22:28 MAVLink Server 27:45 Acknowledgements 28:22 Q: Camera SDK support? 29:25 Q: Where does MAVLink Server run? 30:22 Q: Fake source bin logs? 32:00 Q: Camera stream bandwidth control? 34:21 Q: Camera manager custom signalling?

Chapters: 00:00 Wouldn't more control be cool? 1:35 Introduction 3:44 What is Cockpit? 4:56 Web-based Stack 8:24 Widget-based UI 13:39 Data output and commands 19:15 Flexible data input 24:06 Current status 27:47 Future plans 30:02 Acknowledgements 31:14 Find out more / get involved 31:33 Q: Handling lost connections 33:15 Q: 3D maps and visualisation 34:12 Q: Remote vehicle access 36:25 Q: Current map library 37:21 Bluesim demo

Chapters: 00:00 Introduction + overview 1:10 1. Why BlueOS was created 2:12 2. What it looks like now 2:35 3. Target market 3:30 4. Example hardware systems 3:51 4. BlueOS design approach 5:56 5. What BlueOS makes easier 6:23 5. Vehicle setup and management 8:22 5. IP-based communications 11:07 5. Integrating external tools 12:31 5. Development and testing 14:23 6. What's new? 15:03 6. Startup wizard 15:25 6. MAVFTP integration 16:09 6. Pi5 support 16:34 6. Extensions management 17:03 6. BlueOS community 18:05 6. In-progress features 19:30 6. Planned features 20:54 7. How you can use it 22:10 Questions? 22:22 Q: Custom models in vehicle setup 23:15 Q: Aerial vehicle compatibility 23:38 Q: Extension containers 24:23 Q: Updating BlueOS

Great features!

Very interesting, thank you.

Nice! Great work, Peter! Happy flying!

Nice one I look forward to playing with it

Great work Sir.