Pick and Place Robots

Summary

Implemented forward and inverse kinematics for robotic arm control
Developed precise motion planning for pick and place operations
Created efficient trajectory generation algorithms

Project Overview

The Pick and Place Robots project focused on developing control systems for industrial robotic arms to perform precise manipulation tasks. The project involved implementing both forward and inverse kinematics to enable accurate positioning and movement of the robotic arms.

Using MATLAB, we developed algorithms for motion planning and trajectory generation, ensuring smooth and efficient movements while avoiding obstacles. The system was designed to handle multiple robots working in coordination, requiring careful consideration of workspace management and collision avoidance.

A significant challenge was optimizing the motion paths to minimize cycle time while maintaining accuracy and avoiding collisions. This was addressed through the implementation of sophisticated path planning algorithms and real-time trajectory adjustment capabilities.

Results

The implemented system successfully demonstrated precise pick and place operations with high reliability. The motion planning algorithms achieved optimal paths with minimal cycle times, while the collision avoidance system maintained safe operation in multi-robot scenarios. The project received high distinction recognition for its comprehensive approach to industrial robotics challenges and effective implementation of advanced control strategies.

Potential Improvements

Future enhancements could include implementing adaptive control systems for handling varying payloads, developing more sophisticated collision avoidance algorithms for dynamic obstacles, integrating computer vision for automated object recognition and grasping, and implementing machine learning techniques for optimizing motion patterns based on task history.

Core Technologies and Skills

MATLAB

Robotics

Kinematics

Motion Planning

Control Systems