Robo-analyzer (RA) is open-source software that uses a 3D representation of a robot manipulator to carry out various analytical studies. It was created primarily to assist instructors and students in getting started with robotics teaching and learning utilizing framework-based skeleton models or computer aided design (CAD) software designs of serial robots i.e., articulated robot. The RA software is used in this work to simulate and examine a two-degree of freedom (DOF) robot with two link and two revolute joints respectively. The joint length is kept constant at 0.2m, and the joint velocity is varied from 0 to 180 degrees per second. The two-link manipulator is permitted to carry out forward kinematics after generating and establishing the input parameters for the simulation of the 2DOF model, which results in simulating the joint acceleration values, and that is the primary prerequisite for the machine learning (ML) process. The model tends to deduce the relationship between the input and output parameters in this study, which further aids in the deduction of a linear relationship between the two parameters, especially input and output parameter i.e., link length coordinates, joint velocity, and joint acceleration. The experimentation was then carried out on the basis of RA data to apply linear regression machine learning technique (LRMLT), which will assist in the prediction of an output, namely joint acceleration. The model tends to pave way for future research which can be carried out for joint vibration which is solely based on the basis of the acceleration present at joint.

Gesture recognition is a type of technology that can be used to control robots, manipulators, and other devices. Human-Computer Interaction (HCI) and research into creating simple-to-use interfaces by utilising natural communication have gotten a lot of press recently, as have human manipulation skills. When using gesture recognition, the user who is making the gesture is not necessary to wear any equipment or gadgets on their body. A camera linked to a device reads the body’s gestures and produces an output. The major purpose of this paper is to use MATLAB to control motor direction in proteus while also combining both software with VSPE (visual serial port emulator). Before immediately implementing this method on a robot, we can first simulate the outcomes to improve accuracy or correct models.

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