The paper addresses the multi-objective optimization of a 2-DoF purely translational parallel manipulator. The kinematic analysis of the Proposed T2 parallel robot is introduced briefly. The objective functions are optimized simultaneously to improve Regular workspace Share (RWS) and Global Conditioning Index (GCI). A Multi-Objective Evolution Algorithm (MOEA) based on the Control Elitist Non-dominated Sorting Genetic Algorithm (controlled ENSGA-II) is used to find the Pareto front. The optimization results show that this method is efficient. The parallel manipulator prototype is also exhibited here.

This paper describes the design and implementation of a low-cost robot control system based on a Programmable Logic Controller (PLC). The robot is a 2-DoF (Degrees of Freedom) purely translational mechanism, which has potential application in food and electronics industry for high speed pick-and-place operation. Combined with a conveyor belt, it can make 3-DoF purely translation motion. In this paper, the inverse kinematics, forward kinematics, singularity, and workspace analysis are presented. The control system architecture and software design is also introduced. The prototype is exhibited at last.