Ranit's Robotics Blog

    Showcase & Documentary  1. Deep Learning Based Calibration  2. ICP Based Odometry & Positioning (Manual)  3. Path-Finding using A* Algorithm & Traversing (Manual) 4. Automatic Navigation & Path-Finding 5. Complete Autonomus Navigation With Feedback Loop  Download Vagabond:  https://github.com/Kawai-Senpai/Vagabond/ Welcome to this exciting exploration into the world of SLAM—Simultaneous Localization and Mapping. Most people working on SLAM typically rely on Robot Operating System (ROS) and predefined libraries, using simulations instead of real-world scenarios. But we decided to take a different route. We believed that if we wanted to truly master SLAM, we needed to do it the right way—from scratch. Rather than using pre-built templates and libraries, which can be picked up at any time, we challenged ourselves to build a SLAM system manually. Now, we didn’t have the budget to buy a professional LiDAR sensor, which can be quite expen...

      Waste management has become one of the most pressing issues of our time, and innovative solutions are needed now more than ever. What if we could blend the precision of robotics with the power of AI to create a system that not only automates waste segregation but also bridges the gap between virtual simulations and real-world applications? In this documentary, we’ll take you behind the scenes of a groundbreaking project: the development of a 6-degree-of-freedom robotic arm designed for waste segregation, all simulated within the immersive environment of Unreal Engine. The journey began with the idea of creating a robotic arm that could mimic human movements with high precision. To achieve this, we focused on developing a 6-degree-of-freedom (6-DOF) system, allowing the arm to move in any direction, rotate, and grasp objects as efficiently as a human hand. But building this complex system wasn’t just about mechanics—it was about crafting a seamless interaction betwee...

Previously, when we showcased our initial project at the national science fair, we presented "Armball Mania," a novel and intuitive sensor-controlled game. This project utilized an accelerometer connected to a compact Arduino Nano, with serial communication enabling the transfer of orientation data to an Unreal Engine game. The game's objective was to balance a ball on a football field and score goals by manipulating the field's orientation with the accelerometer mounted on a DIY glove worn by the user. The project was a hit at the fair in Kolkata, drawing long lines of enthusiastic students and children eager to experience the game. Despite the success, we encountered significant challenges with the accelerometer. The sensor's sensitivity to minute hand movements caused jittery and unstable outputs, making the gameplay less smooth and precise than desired. To overcome this, we decided to upgrade to a gyroscope. The gyroscope provided a remarkable improvement in a...

  Today I'm going to show you how I turned a broken pocket mist generator into: A Contactless Mist Sanitizer Machine  in just one day. Sounds cool, right? Let's get started ! First, let me explain what a pocket mist generator is. It's basically a device that sprays a fine mist of liquid, usually water or sanitizer, to moisturize or disinfect your skin or surroundings. It's handy and portable, but mine stopped working after a few months of use. So I decided to open it up and see what's inside. To my surprise, I found out that it doesn't use any heating element or pump to create the mist. Instead, it has a tiny diaphragm that vibrates at a very high frequency, around 100 kHz, and breaks the liquid into tiny droplets that form the mist. This is called ultrasonic atomization, and it's very efficient and quiet. I wanted to control this diaphragm using my Arduino Uno, but I couldn't generate such a high frequency with it. So I had to use the origi...

       We have named it 'Cookie Bot' 🍪 Cookie Bot is a multipurpose mini desktop assistant robot that you can control with your voice when needed but also has a mind of its own ! It uses a combination of AI, Machine Learning, and speech recognition to control its movements and actions based on different situations and surroundings. Users can interact with the robot through voice commands and its voice assistant artificial intelligence system allows it to detect and understand user commands in different natural languages including English and Hindi !  Cookie Bot acts lively, moves around on its own using a path finding algorithm to navigate and avoid obstacles while responding to different commands from the user. The Cookie Bot uses a LIDER sensor to detect objects in its path and a Ultrasonic sensor to sense objects and objects in its surrounding environment. Here's a video of the first working prototype : Prototype 1 : December 15th, 2022 Prototype 1 : Projec...