The aim is to create an interactive website that includes a simulation of the RRR Manipulator, pre- and post-quizzes, theoretical content on RRR Manipulator kinematics and applications, and a comparative analysis of KAN models with MLP.
Objective 1: Develop and compare the performance of Multilayer Perceptron (MLP), KAN: Kolmogorov-Arnold Networks(KAN), and Fourier-KAN, Fast-KAN, Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials for both forward and inverse kinematics of the RRR articulated robot.
Objective 2: Create an interactive MATLAB app to visualize the simulation of the RRR robot, allowing users to input joint angles and observe the corresponding end-effector positions in real-time.
In the field of robotics, manipulators are widely used to perform a variety of tasks ranging from simple pick-and-place operations to complex assembly processes. A 3 Degree of Freedom (DOF) Revolute-Revolute-Revolute (RRR) manipulator is a fundamental type of robotic arm that consists of three rotational joints. This configuration allows for a high degree of flexibility and a wide range of motion, making it suitable for many applications in industrial automation, medical robotics, and research.
Robotic manipulators are mechanical systems designed to interact with the environment through end-effectors, which can be tools, grippers, or sensors. The DOF in a manipulator refers to the number of independent movements it can perform. In the case of an RRR manipulator, each joint provides a rotational movement, leading to three distinct rotational motions.
The RRR manipulator is named after its joint configuration:
The typical structure of an RRR manipulator includes:
Understanding the kinematics (motion) and dynamics (forces and torques) of the RRR manipulator is essential for its design and control:
Effective control of a 3 DOF RRR manipulator involves several strategies:
The forward kinematics of the 3 DOF Manipulator is performed using DH Parameters which are considered to be standard for robot kinematics.
Table-1: DH parameters of the 3 DOF Manipulator
The position and orientation of the robot end-effector can be represented by the Homogeneous Transformation matrix.
Where the px, py, pz represent the robot end-effector in x, y, z directions and R11…R33 represents the orientation of the robot end-effector.
In the Inverse Kinematics, the joint variables θ1, θ2, θ3 are determined using the geometrical approach. This approach solves the joint variable θi by projecting the robot onto the plane of xi-1 - yi-1 and then solving it with trigonometry.
The joint variables are given by the following equation:
The 3 DOF RRR manipulator is crucial in various applications due to its simplicity and effectiveness:
The 3 DOF RRR manipulator is a versatile and essential tool in the field of robotics. Its simple yet effective design allows for a wide range of applications, from industrial automation to advanced research. Understanding its kinematics, dynamics, and control strategies is crucial for developing efficient and precise robotic systems. As technology advances, the role of RRR manipulators will continue to expand, driving innovation and efficiency in various domains.