Indoor Personal Follow-Me Car

@Jennycreation

Hello Sir, I have already worked on similar types of website and software development projects and I am confident that I can successfully handle your project. I am a full-time freelancer with **17+ years of experience** in web development, software development, automation, and API integrations. My expertise includes: * ASP.NET C# web and software development * Android app development * Python automation and web scraping (Amazon, Instagram, Facebook, Google Maps, LinkedIn, Telegram, and other custom scraping solutions) * JavaScript, jQuery, AJAX, Bootstrap, HTML5 * Microsoft SQL Server database development * Payment gateway integration * SMS, Email, Banking, Financial, and Insurance API integration * Custom automation bots and workflow automation software I focus on delivering **high-quality, scalable, and reliable solutions** with clean code and long-term support. Please contact me in private chat so we can discuss your requirements in detail. I can also show you a **demo of similar projects** I have completed. Looking forward to working with you. Thanks & Regards

@SahilRao1247

Hi, I can take your “follow-me” car from concept to a complete indoor working prototype, including the mechanical design, electronics, sensing, and control software. I’d recommend a compact differential-drive platform with quiet geared motors, Li-ion battery, and a camera + distance-sensor/LiDAR stack for reliable human tracking and obstacle avoidance. I can develop the control system in Python or Arduino-compatible C++, with smooth following, safe stopping distance, path recovery, and doorway navigation built into the logic. You’ll receive a complete BOM, wiring schematic, well-commented source code, assembly guide, and a tested prototype workflow designed around 30+ minutes of runtime. My focus would be keeping the system compact, quiet, affordable, and dependable rather than unnecessarily complex. I can also provide a clear testing/demo plan showing person-following, obstacle avoidance, stopping, and automatic resume behavior.

@ZohaibSathio

Hi, an indoor car that keeps a person in front of it and stops clean when they stop. Losing the target on a doorway turn is what kills these. How I would build it: an ESP32 cam running a light person tracker, box offset steering the wheels and box height holding distance, two motors on a TB6612 off a 3S pack, with a front ultrasonic that can override it. Should it follow through doorways into other rooms? My shipped work is AI rather than robots, so I'd send video of the tracker before anything gets glued down. Regards, Zohaib

@stefang125

I’m an engineering professional experienced in embedded systems, firmware development with C and Python, Arduino-based solutions, sensor integration, control systems, and embedded product prototyping. I can help develop the indoor follow-me prototype from the system architecture through hardware integration and testing. The sensing approach can be selected based on the required following accuracy, obstacle detection, indoor environment, cost, and available processing resources. I can work on the embedded control logic, sensor integration, motor/control behavior, and safety-related stop/resume logic. I can also prepare the BOM, wiring/schematic documentation, commented source code, and step-by-step assembly documentation. For the mechanical side, I can also contribute to the compact chassis and product-oriented design while keeping the system practical for smooth indoor surfaces and quiet operation. I would first evaluate the available sensing options and define a reliable architecture before implementation, with the goal of keeping the prototype affordable while maintaining stable indoor behavior.

@gargprateek007

This is an easy project. I can build it quickly. Not saying but maybe can be done in a day. I was an AI Researcher at an MNC building autonomous vehicles. This project should not have any issues.

@jakubn726

Hello, I'll be honest, my previous work doesn't directly involve building personal follow-me cars, but I believe my extensive experience in full-stack development, AI engineering and embedded systems puts me in a unique position to tackle this project. I am a seasoned professional who has helped build diverse AI systems for various industries, leveraging the latest technologies and tools to develop innovative solutions to complex problems. My familiarity with Python will be particularly beneficial for the control firmware / software phase of your project, as will my skills in LIDAR and Bluetooth beacon usage in navigation-oriented systems. It's worth noting that although car chassis and drive trains are not my core areas of experience, I have repeatedly demonstrated an ability to learn new technologies proficiently as each new project requires it. The skill set required for implementing human tracking and basic obstacle avoidance is something I possess from my AI projects. I've extensively used sensory stacks like cameras, ultrasonic sensors, LiDAR systems with Arduino-compatible C++ for navigation systems before. My understanding of cost-effectiveness drives me towards finding balance between cost and functionality without sacrificing reliability, an important aspect you highlighted in your requirements. I am confident in providing top-notch performance commensurate with your needs. My sales pitch is: Though new to crafting car Thanks!

@wasimmalik01

Hi, You’re looking for a compact indoor robot that can reliably follow a person through rooms and doorways, maintain a safe distance, avoid obstacles, and stop/resume smoothly—not just a remote-controlled car. I can build the software around a camera-based tracking approach, with LiDAR/ultrasonic sensing used for distance and obstacle safety. Python can handle the vision and decision layer, while Arduino-compatible C++ can manage motor control and low-level sensors. I’ll also provide the BOM, wiring/schematic, commented code, assembly steps, and testing procedure. My Python, computer-vision/AI, and automation background is well suited to building the tracking and decision logic efficiently. I can also keep the sensor stack practical and cost-conscious rather than overengineering it. Best Regards, Muhammad Wasim

@Digitalizers010

Hi, an indoor follow me car that tracks you across flat floors and stops when you stop. Following is the easy half. It's doorways where these fall over. How we would build it: a compact two motor chassis, a camera doing the person tracking with ultrasonic for close range, firmware in Arduino C++ turning tracking error into differential drive, plus a timeout that halts if it loses you. Roughly how big is the room? we have built embedded motor control before and can send the BOM and wiring first. Regards, Digitalizers

@Jenil01

Your project immediately caught my attention because it combines mechanical design, embedded control, sensing, and autonomous robotics rather than being just a software or CAD task. Please have a look at my portfolio: https://www.freelancer.in/u/Jenil01 I am a Mechatronics Engineer with experience in robotics, embedded systems, Arduino, Raspberry Pi, Fusion 360, electronics integration, sensor fusion, and autonomous vehicle development. One of my major projects was an 8 wheeled autonomous rover, where I led a 5 member team through mechanical design, chassis development, suspension, electronics packaging, sensor integration, and prototype development. The project became a finalist at Robofest 3.0. I am also currently developing a human following autonomous vehicle, including research into tracking, obstacle avoidance, dynamic tracking, MATLAB simulation, and mechanical CAD. For your indoor follow me car, I can help select a practical sensing combination, design the drivetrain and chassis around low noise and compact size, integrate the battery and electronics, develop the control logic, and tune human following and obstacle avoidance for smooth indoor operation. I can provide the CAD, BOM, wiring documentation, commented firmware or software, assembly guidance, and support through prototype testing and iteration. Best regards, Jenil Dodiya Mechatronics Engineer

@shashankin7

Hi,I’m an Embedded Design Engineer with 4 years of experience in embedded firmware, hardware integration, and robotics/motor-control systems. I work primarily with STM32, Arduino, Embedded C/C++, sensors, motor drivers, communication protocols, and real-time control. Your “follow-me” car project is a great fit for my experience. I can help with the complete prototype, including: Compact chassis, BLDC/DC motor and battery selection Human-following sensor integration using LiDAR/ultrasonic/camera/BLE, based on the best cost-vs-performance approach Motor control, obstacle avoidance, and safe-stop logic Arduino-compatible C++ firmware/software Sensor fusion and real-time control Complete BOM, wiring/schematic, and commented source code Assembly and testing documentation End-to-end indoor testing and tuning I also have hands-on experience with BLDC motor control, STM32/Arduino systems, sensor interfacing, PID control, UART/I2C/SPI/CAN, and hardware debugging, which are directly relevant to this project. My approach would be to keep the design compact, quiet, affordable, and reliable, rather than overcomplicating it with unnecessary hardware. I’d be happy to discuss the sensing architecture and propose a practical prototype that can reliably follow a person around a typical home. Regards, Shashank Ingle Phone no: 9307896560 / 9763242405 LinkedIn: Shashank_Ingle

@Weiw71

I can take care of ‘Indoor Personal Follow-Me Car’. I’ll reproduce the integration flow, implement the required endpoint/auth/error handling, and verify the happy path plus failure cases, then deliver working source/configuration with test evidence and concise setup notes. The listed stack (C Programming, Python, Electronics) fits that delivery path. I can start immediately; proposed turnaround is 2 days. If you have one priority sample or edge case, I’ll use it as the acceptance check.

@aarushcb

Hello! My team and I can develop the indoor person-following robot prototype with compact hardware, reliable tracking and basic obstacle avoidance. I have hands-on experience with Arduino/ESP32, robotics, motor control, sensors, embedded systems and computer-vision/vehicle tracking projects. I can use this experience to build a practical indoor prototype rather than just a simulation. My approach would use a camera-based person-tracking system combined with distance sensing for obstacle detection. The controller will continuously determine the person's direction/distance, control the drive motors, stop when the person stops or an obstacle is detected, and resume when the path becomes clear. I will provide: • Compact chassis and drive-train recommendation • Sensor/component selection and BOM • Wiring diagram/schematic • Arduino/ESP32-compatible firmware/software • Person-following and obstacle-avoidance logic • Battery/runtime considerations • Assembly and setup instructions • Testing and demonstration guidance I will prioritize low noise, compact size, affordability and reliable operation on smooth indoor floors. I have not previously deployed this exact follow-me robot, but my existing robotics, embedded and sensor-integration experience is directly relevant to the project.

@ravigehlot02

As you descibed the goal is to build a compact indoor follow-me robot that can detect and follow a person while maintaining a safe distance, avoid obstacles, stop safely when blocked, and resume when the path is clear. This requires reliable integration of the drivetrain, sensors, battery, vision, and control software rather than simply making a robot with wheels and optimism. I will build a differential-drive platform with geared motors and encoders, using a Raspberry Pi for camera-based person detection and high-level control, and an ESP32 for real-time motor control. LiDAR and ultrasonic sensors will provide obstacle detection and a safety layer. I will develop it incrementally: mechanical and electrical assembly, motor control, sensor integration, person tracking, obstacle avoidance, then real-world testing and tuning. I bring both software and hands-on hardware experience. I am a software developer experienced with Python, AI/computer vision workflows, APIs and system integration. I also have practical experience from generator manufacturing, including motor design and assembly, electrical wiring, soldering circuit boards, and mechanical fabrication. I have access to the tools required to build and troubleshoot the physical prototype, allowing me to handle both the hardware and software sides of the project.