Arlindo Campos’ Post

#BluePolygon Robotics Inspection Technology Spotlight: - Elios 3 With the onset of the 4th industrial revolution, companies are digitalizing most of their processes to make their operations safer and more efficient. Drone-based inspection is no longer a technology of the future; it is a necessity for today’s fast-paced digital world. Meet Flyability Elios 3 - An unmatched combination of intelligence, versatility, and stability that instantly transforms asset data into digital insights. The Elios 3 is the ultimate indoor drone for inspection, mapping, and surveying, designed to quickly convert asset data into actionable digital insights. More than just a flying camera, the Elios 3 is a powerful data-harvesting tool. Leveraging the power of computer vision and LiDAR mapping, the Elios 3 is a versatile indoor drone that enables systematic inspections without requiring months of training. Reports are intuitively generated on a 3D model of your asset, and situational awareness is built into the piloting app. Blue Polygon Nigeria Limited (BPNL) is at the forefront of using drone technology to offer our clients advanced inspection solutions that not only enhance safety but also provide unparalleled efficiency and accuracy in inspections. Interested in seeing how the Elios 3 can transform your asset inspection, mapping, and surveying? Book a free consultation with us today 👉 https://lnkd.in/dPR8v-nq to learn more about our services and how we can help enhance #safety and #efficiency in your operations. 📹© Flyability #dronetechnology #inspection #drone

🚀Tech isn’t just about #software; it’s about making things take flight—literally! Completed an Amazing Hands-on #Drone Assembling Workshop! 🛠️ Had the incredible opportunity to dive deep into the world of drone technology! The workshop provided a hands-on experience in assembling drones from scratch, understanding the mechanics, and learning how each component plays a crucial role in the flight. From attaching motors to configuring flight controllers, every step was an exciting learning experience. The best part? Getting the drone ready for flight and seeing all the hard work come to life! 🛸 Checkout this Post:https://lnkd.in/dWtY45UH Huge thanks to the Sandeep Joshi sir, Baswaraj S T sir, Pillai College of Engineering and mentors who guided us throughout the process. This workshop has definitely sparked my interest in exploring more about drones and their applications in various industries! 🌐 #DroneTechnology #HandsOnExperience #Workshop #LearningByDoing #TechInnovation #STEM #Engineering #Drones

High-Performance ESC: HV800V180A The HV800V180A is a cutting-edge electronic speed controller (ESC) designed specifically for ultra-large-load unmanned systems. Supporting an 800V high-voltage platform, this ESC ensures unparalleled performance and efficiency for demanding applications. Key Features Advanced Technology: The HV800V180A leverages the latest silicon carbide (SiC) MOS tube technology and a new energy vehicle drive design to deliver high power density and efficiency. Reliability: With a sensorless FOC (Field-Oriented Control) algorithm that has proven its effectiveness over years of market testing, the ESC guarantees exceptional reliability. Ease of Integration: A 12V/1A BEC output simplifies integration into various systems. Specifications Continuous Output Current: 180A Peak Output Current: 360A Rated Power Output: 70kW Voltage Range: 450–850V Weight: 4.18 kg Durability and Functionality The HV800V180A is built to withstand harsh environments, featuring an IPX7 waterproof rating. Its cooling system relies on forced air circulation, ensuring stable performance even under challenging conditions. With support for fixed and feathering propeller functions, the ESC offers versatility for various applications. Applications This ESC is ideal for systems requiring thrust in the range of 200–250kg, powered by 192–200S LiPo batteries. It supports high rotational speeds of up to 12,000 RPM (M pole pairs), making it suitable for advanced UAVs, eVTOLs, and heavy-duty drones. By integrating cutting-edge technology, robust design, and comprehensive functionality, the HV800V180A sets a new benchmark for high-performance ESCs in the unmanned systems industry.

𝘋𝘪𝘴𝘤𝘰𝘷𝘦𝘳𝘪𝘯𝘨 𝘵𝘩𝘦 𝘍𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘙𝘰𝘣𝘰𝘵𝘪𝘤𝘴: 𝘈 𝘕𝘦𝘸 𝘚𝘦𝘳𝘪𝘦𝘴 𝘐𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘏𝘦𝘭𝘭𝘰 𝘓𝘪𝘯𝘬𝘦𝘥𝘐𝘯 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘺! 𝘐'𝘮 𝘵𝘩𝘳𝘪𝘭𝘭𝘦𝘥 𝘵𝘰 𝘪𝘯𝘵𝘳𝘰𝘥𝘶𝘤𝘦 𝘢 𝘯𝘦𝘸 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 𝘴𝘦𝘳𝘪𝘦𝘴 𝘥𝘦𝘥𝘪𝘤𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥 𝘰𝘧 𝘳𝘰𝘣𝘰𝘵𝘪𝘤𝘴, 𝘤𝘰𝘷𝘦𝘳𝘪𝘯𝘨 𝘢𝘦𝘳𝘪𝘢𝘭 𝘳𝘰𝘣𝘰𝘵𝘪𝘤𝘴. 𝘖𝘷𝘦𝘳 𝘵𝘩𝘦 𝘤𝘰𝘮𝘪𝘯𝘨 𝘸𝘦𝘦𝘬𝘴, 𝘸𝘦'𝘭𝘭 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘩𝘦 𝘤𝘶𝘵𝘵𝘪𝘯𝘨-𝘦𝘥𝘨𝘦 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘢𝘯𝘥 𝘵𝘰𝘰𝘭𝘴 𝘴𝘩𝘢𝘱𝘪𝘯𝘨 𝘵𝘩𝘪𝘴 𝘥𝘺𝘯𝘢𝘮𝘪𝘤 𝘧𝘪𝘦𝘭𝘥. 𝘞𝘩𝘦𝘵𝘩𝘦𝘳 𝘺𝘰𝘶'𝘳𝘦 𝘢 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭 𝘰𝘳 𝘫𝘶𝘴𝘵 𝘤𝘶𝘳𝘪𝘰𝘶𝘴 𝘢𝘣𝘰𝘶𝘵 𝘳𝘰𝘣𝘰𝘵𝘪𝘤𝘴, 𝘵𝘩𝘦𝘳𝘦’𝘴 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨 𝘩𝘦𝘳𝘦 𝘧𝘰𝘳 𝘦𝘷𝘦𝘳𝘺𝘰𝘯𝘦. 𝘏𝘦𝘳𝘦’𝘴 𝘢 𝘴𝘯𝘦𝘢𝘬 𝘱𝘦𝘦𝘬 𝘢𝘵 𝘸𝘩𝘢𝘵 𝘸𝘦’𝘭𝘭 𝘤𝘰𝘷𝘦𝘳: 𝘼𝙚𝙧𝙞𝙖𝙡 𝙍𝙤𝙗𝙤𝙩𝙞𝙘𝙨 • 𝗣𝗫𝟰: An open-source flight control software for drones and other unmanned vehicles, offering robust and flexible flight control capabilities. Widely used in academic research, commercial projects, and by hobbyists. • 𝗔𝗿𝗱𝘂𝗣𝗶𝗹𝗼𝘁: A versatile open-source autopilot system that can control a variety of vehicles including drones, planes, and submarines. It is known for its reliability and advanced navigation and control solutions. • 𝗥𝗢𝗦 (𝗥𝗼𝗯𝗼𝘁 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺): An open-source framework providing tools and libraries for building robot applications. It facilitates integration, development, testing, and deployment of robotic systems, crucial for sensor integration and system coordination in aerial robotics. • 𝗠𝗔𝗩𝗥𝗢𝗦: A ROS package acting as a bridge between ROS and the MAVLink protocol, enabling seamless communication between ROS-based ground control systems and MAVLink-compatible drones for sophisticated control and data exchange. • 𝗚𝗮𝘇𝗲𝗯𝗼: A powerful 3D simulation tool for creating realistic environments to test and develop robotic applications, offering comprehensive testing of aerial robotics systems without the need for physical hardware. • 𝗠𝗔𝗩𝗟𝗶𝗻𝗸/𝗗𝗗𝗦: A lightweight communication protocol designed for small unmanned vehicles, ensuring efficient and reliable data exchange between vehicles and ground control stations. • 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Utilizing cameras and computer vision algorithms to enhance drone autonomy, enabling obstacle detection, navigation, and mapping for intelligent and responsive aerial robots. #Robotics #AerialRobotics #MobileRobotics #Drones #SLAM #PX4 #ArduPilot #ROS #MAVROS #Gazebo #MAVLink #VisionSystems #Innovation #Technology

#3_Drone_Project Motor Selection for My AI Drone Project: Brushed vs. Brushless Motors In my drone-building journey, selecting the right type of motor is crucial for performance, efficiency, and control. There are two main motor types to consider: Brushed Motors: - Pros: - Simple design and easy to control. - Cost-effective for small projects. - Suitable for lightweight, small-sized drones. - Cons: - Shorter lifespan due to brush wear. - Lower efficiency and power output compared to brushless motors. Brushless Motors: - Pros: - High efficiency and more power. - Longer lifespan since there are no brushes to wear out. - Ideal for larger drones and advanced performance. - Cons: - More expensive and requires complex electronic speed controllers (ESCs). - Slightly heavier and larger than brushed motors. Why I Chose Brushed Motors: For my current Q100 Brushed Quad-copter Frame, I’ve selected 8520 CW & CCW coreless brushed motors for the following reasons: - Lightweight & Compact: Perfect for my small frame. - Cost-Effective: As I'm in the early stages of experimentation, brushed motors are budget-friendly. - Simpler Setup: Easier control with simple drivers like the DRV8833 2-channel motor driver. As I progress towards larger and more advanced builds, I may switch to brushless motors to gain higher efficiency and power. 🤔 Question for You:❓ For those who have experience built drones, what challenges did you face in motor selection? Let’s discuss in the comments! #DroneTechnology #Drones #AIDrone #DroneBuilding #BrushedMotors #BrushlessMotors #STEM #RaspberryPi #EmbeddedSystems #Electronics #AerospaceEngineering #Robotics #DIYProjects #TechInnovation #Quadcopter

𝗨𝗔𝗩-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁𝘀 𝗶𝗻 𝗩𝗔𝗡𝗘𝗧𝘀: 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 Vehicular Ad-hoc Networks (VANETs) are improving road safety by enabling communication between vehicles (V2V) and between vehicles and infrastructure (V2I). In emergency scenarios like accidents, this V2V and V2I communication reduces response times, decreases congestion, and enhances overall safety. Using NetSim-SUMO interfacing, we explore a research project in which VANETs communicate accident alerts in real-time using UAVs (drones). When an accident occurs, the affected vehicle sends a message to a UAV, which then broadcasts the alert to vehicles within its range, allowing them to reroute and avoid the incident; this enhances road safety and traffic efficiency. 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆: • 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝘁𝘂𝗽: Realistic road scenarios are crafted using NetEdit/SUMO and then interfaced with NetSim. • 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻: Accidents are simulated by initiating collisions between two vehicles using SUMO's TraCI APIs. • 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗨𝗔𝗩 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: The accident vehicle communication an alert to a UAV, and continue to transmit real-time status updates. • 𝗔𝗰𝗰𝗶𝗱𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁 𝗦𝘆𝘀𝘁𝗲𝗺: The UAV detects the accident, and broadcasts immediate alerts to all vehicles in the network, facilitating vehicle rerouting. 🔗 Learn more: https://lnkd.in/eSRcaXFT 🌐 Detailed documentation of VANETs: https://lnkd.in/gksgyJVH

Aerial Robotics Course - Focus on Quadcopters: 1. Flight Dynamics and Basics: The course focused on understanding how the four motors in a quadcopter affect its flight. Each motor plays a role in controlling the drone's movement: Front and rear motors control altitude (lifting and descending). Side motors control yaw (rotation along the vertical axis). We explored the physics behind quadcopter flight and how each motor’s thrust needs to be precisely managed to maintain stability. 2. Control Systems: Learned how to design a control system using PID (Proportional-Integral-Derivative) algorithms to stabilize the drone during flight. This involves adjusting each motor's speed to balance the drone in the air. Focused on how to use Inertial Measurement Units (IMU) to monitor changes in acceleration and orientation in real-time, enabling precise control of the drone’s position. 3. Navigation and Guidance: Studied how GPS systems help navigate quadcopters in open environments by providing accurate location data. Implemented algorithms for path planning and automatic return-to-home functions, ensuring the drone can fly safely even in complex scenarios. 4. Practical Applications: The course delved into real-world applications of quadcopters, including aerial surveys, site monitoring, and aerial photography. We also explored how drones are used in industries like agriculture, infrastructure inspection, and delivery. 5. Future Applications and Challenges: Discussed the future of quadcopters, such as integrating computer vision for real-time obstacle avoidance. Learned about SLAM (Simultaneous Localization and Mapping) for enhancing drones’ ability to navigate autonomously in complex environment. #AerialRobotics #Quadcopters #RoboticsEngineering #Drones #ControlSystems #PIDControl #Automation #Mechatronics #STEM #RoboticsApplications #TechInnovation #AIinRobotics #DroneTechnology #FutureOfRobotics #EngineeringExcellence

Memory Lane Monday - Before quad-rotor drones became possible - it was faster, safer and more cost-effective to test future fight algorithms on the ground using a novel robot that was known as "InsectBot" that had development contributions from David Austin, Felix Schill, Josh Bobruk, and Lance Cole, but the bulk of the hardware and software was done by Luke Cole. This #robot was achieved via omni-directional wheels, and a ~spherical camera that had a vertical control axis - all enabling simulation of a flying object such as a #Drone #UAV. The work used biologically-inspired optical flow algorithms allowing #autonomous centring and #ObstacleAvoidance (aka 3D centring) and 3D docking. In this demo video, we also see the benefits of a #haptic-feedback joystick allowing the optional operator to feel the walls, floor and ceiling during #teleoperation, effectively forcing the driver to say 3D centred, and allowing blind driving. This robot was used for published research conducted by Luke Cole, Chris McCarthy, Rebecca Dengate, John Lim, David Shaw, and supervisors David Austin, Nick Barnes, Robert Mahony and Peter Corke during the pioneering robotics and computer vision days at The Australian National University, NICTA (aka CSIRO's Data61) and CSIRO. For more info see: https://lnkd.in/g3NDD3U2 #robots #robotics #vision

Day 5: Tutorials & How-Tos Headline:- "How to Build Your First DIY Drone: A Beginner's Guide" "Happy Sunday, LinkedIn! If you've ever wanted to build your own drone, today’s post is for you. Here’s a simple guide to get you started: 1. Gather Your Components:-   - Frame:- Choose a lightweight frame that suits your design.   - Motors:- Select motors compatible with your drone's size and weight.   - ESCs (Electronic Speed Controllers):- These regulate the power to your motors.   - Flight Controller:- The brain of your drone, managing stability and control.   - Propellers:- Ensure they match your motor size.   - Battery- A LiPo battery is commonly used.   - Transmitter and Receiver:- For remote control.   - Additional Components:- GPS module, camera (if needed), and sensors. 2. Assemble the Frame:   - Attach the arms to the main body.   - Secure the motors at the ends of the arms. 3. Install the Electronics:   - Mount the flight controller in the center.   - Connect the ESCs to the motors and the flight controller.   - Attach the receiver to the flight controller. 4. Configure the Software:   - Download and install flight control software (e.g., Betaflight or ArduPilot).   - Calibrate the sensors and configure the flight modes. 5. Test and Tune:   - Conduct a pre-flight check.   - Test fly in a controlled environment.   - Fine-tune the settings for optimal performance. Building your own drone is a rewarding experience that deepens your understanding of this incredible technology. Happy building! Have any tips or questions about building drones? Share in the comments below! #Drones #UAV #DIY #TechTutorial #Engineering" "Are you planning to build your own drone? Let’s discuss your project ideas!"

🌍Can Nature truly inspire the next generation of Drone Technology? 🚁 Robotics is being revolutionised by a series of bio-inspired drones made by Festo, a pioneering German business in automation. These drones, developed as part of their Bionic Learning Network, remarkably accurately mimic the flight characteristics and behaviours of a variety of wild creatures. Here are some standout examples: ☄ BionicOpter: Inspired by the dragonfly, this drone can fly in all directions, hover in place, and glide without flapping its wings, combining more flight manoeuvres than traditional helicopters and gliders. ☄ BionicSwift: Modelled after the swift bird, this drone replicates agile bird flight, performing tight turns and aerial acrobatics with energy efficiency thanks to its artificial feathers. ☄ BionicBee: Inspired by bees, this ultralight drone can fly in large autonomous swarms, using an indoor localization system to avoid collisions and optimize its flight path. ☄ AquaJellies: These aquatic drones, modelled after jellyfish, move gracefully through water, using electronically controlled tentacles to coordinate their movements. These projects not only demonstrate the potential of biomimicry but also open new possibilities in industry and education, bringing nature-inspired solutions to advanced technology. The future of robotics is bio-inspired! Credits: Mashable 📌Knowledge not shared is knowledge lost! 👉Follow me and 👉 Activate Bell 🛎️for all posts as well as additional technical and educational content!💪🏆 #innovation #creativity #technology #letsconnect #future #education #knowledge #topvoice #amazing #robotics #AI #automation #AITips #Aviation #eVTOL #Drones #Airports #aerodynamic #simulation #engineering #research #science #design #physics #materials