Edge Computing Based Autonomous Robot for Secured Industrial IoT

Industry sector contributes twenty-five percentage for Indian Gross Domestic Product (GDP). The industrial business loses 120 billion dollars per year as a result on the average of four accidents per week caused by fallen product components. This problem can be addressed by introducing a self-configurable, automated system based on Industrial IoT (IIoT) that can assist the units in the manufacturing business. This can be achieved by using edge computing to find the path and also to catch the product before it falls, this reduces the damages of product components in an efficient way. The Edge Computing server is exercised to store and process the data regarding movement of autonomous robot. As edge is quick and intelligent, it helps us to prevent accidents and incidents in industry and it will in-turn increases the production rate of the industry. The design and study of a six-degree-of-freedom manipulator is the focus of this research. In SolidWorks, we created a robot and studied its motion, load capacity, and path traceability. The forward and inverse kinematics of a robot, on the other hand, are used in its design and analysis. D-H parameters were used to model both forward and reverse kinematics. In an unstructured environment, the suggested paradigm allows the manipulator to be controlled to any position and orientation. For a single end effector location, inverse kinematics gave a large number of angles to choose from. The forward and inverse kinematics of the robot were studied using a GUI designed in MATLAB.