RoboLN AI

Robotics development is fragmented. A student or independent maker may have an idea for a robot, but translating it into compatible parts, a build plan, a 3D assembly and a documented prototype requires navigating disconnected tutorials, CAD tools, code and hardware specifications. RoboLN (Robotics Logic Navigator) is an AI-assisted engineering workspace designed to close that gap. Instead of stopping at a chatbot answer, RoboLN connects the engineering workflow: define a robotics project, organize actual equipment, ask project-aware technical questions, explore an interactive 3D digital twin, follow guided assembly steps, and record evidence and progress. The working software prototype combines Next.js, React, TypeScript, Three.js/React Three Fiber and a Python FastAPI backend. Its modules include component inventory, planning, interactive assembly with component transformations, a Live Build Copilot with checkpoints and reviewed proposals, camera/image evidence, project management, and device-oriented telemetry interfaces. Meta Model API integration provides a model-powered layer for robotics explanations and engineering guidance. The demo follows an Agri Rover scenario: planning a Raspberry Pi-based agricultural rover with a camera, motors, a soil-moisture sensor and irrigation components. The scenario shows how real equipment references can become an organized, visual engineering process. It is a software engineering prototype, not a claim that an autonomous agricultural rover has already been physically validated. RoboLN's innovation is the connection between AI reasoning, persistent project context, visual assembly and human-reviewed engineering decisions. It is built for students, makers and independent developers who need a more understandable path from idea to robotics prototype. Demo: https://youtu.be/z4g6jI3I-po Source: https://github.com/sadia-zannat/RoboLN-AI