Rebuilt ESP32 car control with ROS 2 and micro-ROS for real-time global access

🚀 Excited to share our Semester 3 Mini Project – Logic Bot! 🤖✨ As part of our EE253 course, our team Logic Bot designed and built a line-following robot entirely using combinational and sequential logic circuits – no microcontrollers involved. This project really tested our knowledge of digital electronics, requiring us to implement decision-making using logic gates, D-latches, flip-flops, and a 555 timer for synchronization. We faced plenty of challenges along the way – from troubleshooting faulty connections to optimizing timing with hardware components – but every hurdle taught us something valuable. In the end, Logic Bot successfully navigated the track and won 3rd place in our class! 🏆 🙏 Proud to have worked alongside my amazing teammates: Piranavini Raguraamamurty Harishraj Thambiaiyah KUGARAM MURALEETHARAN Sanuri Perera Kajanilani Selvakumar 🙌 Grateful as well to our peers, seniors, and mentors who supported, guided, and encouraged us throughout the project. 👇 Below, you can see our robot in action along with a few snapshots from the project. #DigitalElectronics #Robotics #LineFollowingRobot #Teamwork #EngineeringJourney

Ros 2: A Robotics Framework #snsinstitution #snsdesignthinkers #snsdesignthinking #snsct What ROS 2 Means for Me In simple terms, ROS 2 is the software framework that enables all my different parts to work together. Think of my camera, my arm motors, and my leg joints as separate entities. Without a way to communicate, they would just be a collection of disconnected components. ROS 2 solves this by creating a network of nodes, which are like the individual apps running on my internal computer. For example, my vision system is a node that processes camera data to identify objects. My locomotion system is another node that controls my legs. My conversation node handles processing human speech. These nodes don't need to know how the others work; they just need to communicate. This is where ROS 2's Data Distribution Service (DDS) comes in. It allows these nodes to send and receive information seamlessly, ensuring that a command to move my arm is delivered without any lag, even while my vision system is busy analyzing my surroundings.

⚡𝗢𝗯𝘀𝘁𝗮𝗰𝗹𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗕𝗼𝘁 𝘄𝗶𝘁𝗵 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗣𝗮𝘁𝗵 𝗔𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁 As beginners our team built a small-scale bot that detects obstacles in its path and changes direction autonomously. The build used Arduino Uno, ultrasonic sensor, motor driver, DC motors, and a simple chassis setup. Through this project we learnt as beginners how to interface sensors, write control logic, and manage hardware–software integration in real time. Grateful to work alongside a dedicated team of five, and sharing both the demo video and the GitHub repository for those interested in the implementation. Code : https://lnkd.in/dHs72-pd Shashank Shekhar Subham ‎ ‎ Akshat Hatila Satvik Vyas #Robotics #EmbeddedSystems #Innovation

⚡𝗢𝗯𝘀𝘁𝗮𝗰𝗹𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗕𝗼𝘁 𝘄𝗶𝘁𝗵 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗣𝗮𝘁𝗵 𝗔𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁 As beginners our team built a small-scale bot that detects obstacles in its path and changes direction autonomously. The build used Arduino Uno, ultrasonic sensor, motor driver, DC motors, and a simple chassis setup. Through this project we learnt as beginners how to interface sensors, write control logic, and manage hardware–software integration in real time. Grateful to work alongside a dedicated team of five, and sharing both the demo video and the GitHub repository for those interested in the implementation. Code : https://lnkd.in/gidhZGHM Subham ‎ Akshat Hatila Satvik Vyas Sanyam Bohra #Robotics #EmbeddedSystems #BeginnersInRobotics #LearningByImplementing

#EngineeringProfessor #CollegeProfessor #NoireSTEMinist #Engineering #Professor #CollegeProfessor #Students #STEAM Your robot can’t vibe if it can’t sense. Sensor integration isn’t optional, it’s foundational. My Arduino-based bots learn to feel their environment before they move. That’s how I teach control systems to move with purpose.

Though it’s a late post, the experience is worth sharing. Earlier this year, our team “𝐍𝐚𝐦 𝐋𝐚𝐠𝐛𝐞 𝐍𝐚” participated in the 𝟔𝐭𝐡 𝐊𝐢𝐛𝐨 𝐑𝐨𝐛𝐨𝐭 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 (𝐊𝐢𝐛𝐨-𝐑𝐏𝐂)—National Round, organized by 𝐉𝐀𝐗𝐀. We secured 𝟖𝐭𝐡 place among the competing teams, developing an Android application to run simulations of the Astrobee robot inside the 𝐈𝐒𝐒 𝐊𝐢𝐛𝐨 𝐦𝐨𝐝𝐮𝐥𝐞. Along the way, we explored YOLO-based image processing, robotics programming, and problem-solving under real constraints. The journey was far from smooth. With campus unrest and team disruptions, there were moments when completing the project seemed uncertain. What ultimately carried us through was collaboration, persistence, and the determination to learn. In the end, we managed to deliver a working simulation within the limited time. More than just programming, this challenge taught us valuable lessons in teamwork, resilience, and adaptability under pressure. 𝐓𝐞𝐚𝐦 𝐍𝐚𝐦 𝐋𝐚𝐠𝐛𝐞 𝐍𝐚: 𝐏𝐫𝐢𝐭𝐨𝐦, 𝐄𝐧𝐮𝐦, 𝐀𝐧𝐤𝐨𝐧. Attached is a glimpse of our final submission simulation. #Robotics #JAXA #KiboRPC #TeamWork #Programming

⚡𝗢𝗯𝘀𝘁𝗮𝗰𝗹𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗕𝗼𝘁 𝘄𝗶𝘁𝗵 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗣𝗮𝘁𝗵 𝗔𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁 As beginners our team built a small-scale bot that detects obstacles in its path and changes direction autonomously. The build used Arduino Uno, ultrasonic sensor, motor driver, DC motors, and a simple chassis setup. Through this project we learnt as beginners how to interface sensors, write control logic, and manage hardware–software integration in real time. Grateful to work alongside a dedicated team of five, and sharing both the demo video and the GitHub repository for those interested in the implementation. Code : https://lnkd.in/d6vK8vaQ Subham ‎ ‎ Akshat Hatila Shashank Shekhar Sanyam Bohra #Robotics #EmbeddedSystems #Innovation

The LazyAnalysis platform allows you to connect to connect edge devices to machinery over serial and TCP, and very soon Modbus and CAN. This streamlines monitoring and control without complex coding requirements or conversions. Once setup LazyAnalysis can then be applied at a higher level as part of a distributed system to supervise multiple edge devices. This can save companies tons of time because the understand the equipment (and aren't usually software engineers) can built interfaces themselves. We've put this demo together with some low cost hardware to get your creative juices flowing. Let us know if you'd like to give it a try. #Automation #Robotics #Control #Software #Dashboard #UI

🚀 New Tutorial Release Together with Quentin Deyna, we’ve published a walkthrough on simulating and controlling a Universal Robots Manipulator with a Robotiq Gripper in Isaac Sim with ROS 2. 👉 Highlights:  • MoveIt + ros2_control integration  • Mock components vs topic-based control (realism & safety)  • DevContainers for reproducible ROS2 & Isaac workflows Why it matters: topic-based ros2_control brings your simulation closer to real-world deployment, catching collisions and ensuring safer control. As a robotics engineer with 6+ years of experience in industrial robotics and digital twins, Quentin Deyna has a deep understanding of bridging simulation and real deployment with Isaac Sim. Definitely reach out to him if you’re looking for a professional in this space! 🔗 Full tutorial: https://lnkd.in/egMnsQk4 NVIDIA Omniverse NVIDIA Robotics #NVIDIA #Omniverse #IsaacSim #ROS2 #Robotics #OpenUSD #PhysicalAI #LycheeAI #UniversalRobots #Robotiq

Hardware‑Only Line‑Follower (no code) A robot that ships with 0 lines of code. Read that again. ⚡ We built a line‑following robot using pure logic gates—no Arduino, no MCU, just hardware thinking at the edge. This flips the script on how control can be done in cost‑sensitive, deterministic systems. Results in the lab: Path 1: 28.35 s | Path 2: 22.15 s 🚀 Decisions in combinational + sequential logic (not firmware) 🧠 Deterministic timing and fast recovery on track deviations 🎯 - Lower BOM risk and zero OTA/flash failure modes ✅ - Predictable latency for actuators and safety lanes ⏱️ - Blueprint for ultra‑lean edge robotics in manufacturing/automation 🛠️ For more details: https://lnkd.in/gbHQp9wV #Robotics #HardwareDesign #LogicCircuits #Automation #EdgeComputing