Robotic Arm for Pick and Place Operations

A versatile 5-DOF robotic arm with precision control, designed to automate object manipulation tasks with real-time feedback and programmable operation

Project Overview

The YugTroniX Robotic Arm project focuses on developing a precision-engineered robotic manipulator capable of performing complex pick and place operations. Our design combines mechanical engineering, electronics, and software components to create a versatile platform that can be programmed for a variety of manipulation tasks.

This project serves as both an educational tool for understanding robotic kinematics and a practical demonstration of how automation can be applied to real-world tasks. The arm features multiple degrees of freedom, precise servo control, and both manual and automated operation modes, making it suitable for diverse applications ranging from educational demonstrations to simple industrial tasks.

Key Features

5 Degrees of Freedom: Base rotation, shoulder, elbow, wrist articulation, and gripper, allowing for complex movement patterns
Precision Control: High-torque servo motors with encoder feedback for accurate positioning
Modular Design: Easily replaceable components and upgradeable parts
Multiple Control Interfaces: Control via manual controller, computer software, or autonomous programmed sequences
Object Detection: Integrated camera and proximity sensors for automated object identification
Customizable Gripper: Interchangeable end effectors for different object types and tasks
Position Memory: Ability to record and replay movement sequences
Real-time Feedback: Continuous monitoring of position, force, and system status

Technical Specifications

Hardware Components

Arduino Mega Raspberry Pi 4 MG996R Servo Motors PCA9685 PWM Controller Load Cells IR Proximity Sensors HD USB Camera Custom PCB for Interface 12V Power Supply

Software Stack

Arduino IDE Python OpenCV ROS (Robot Operating System) MATLAB for Kinematics Custom GUI Interface PID Control Library

Performance Metrics

Payload Capacity: 500g Reach: 45 cm Precision: ±1mm Base Rotation: 270° Operating Time: Continuous

Development Timeline

Design Phase

CAD modeling, component selection, and kinematic calculations

Mechanical Assembly

3D printing of structural components and assembly of the arm frame

Electronics Integration

Servo wiring, control board assembly, and sensor integration

Basic Software Development

Motor control algorithms, manual control interface, and position calibration

Vision System Implementation

Camera setup, object detection algorithms, and spatial calibration

Advanced Control Development

Inverse kinematics, trajectory planning, and autonomous sequence programming

Testing & Refinement

Performance evaluation, error correction, and optimization of operation

Project Team

Our multidisciplinary team brought together expertise in mechanical engineering, electronics, programming, and computer vision to create this versatile robotic arm platform.

Guru Charan

Project Lead

Uday kiran

Mechanical Design

Paresh

Neha

Gallery

Applications

Our robotic arm platform has been designed with versatility in mind, enabling it to serve multiple purposes:

Educational Demonstrations: Visual learning tool for robotics, kinematics, and automation principles
Laboratory Automation: Precise handling of samples and materials in controlled environments
Small-Scale Assembly: Repeatable assembly of small components for prototyping and production
Research Platform: Testbed for developing new control algorithms and grip techniques
STEM Education: Hands-on robotic programming platform for students

Technical Challenges

Throughout development, our team overcame several significant challenges:

Weight Distribution: Balancing arm segments to maintain stability while maximizing reach
Joint Backlash: Minimizing play in the gear systems to achieve high precision
Power Management: Ensuring sufficient power for multiple simultaneous servo operations
Inverse Kinematics: Developing accurate algorithms for translating target positions to joint angles
Object Recognition: Creating reliable vision systems that work under varying lighting conditions

Future Development

We're actively working on enhancing our robotic arm with planned improvements including:

Integration of force feedback sensors for adaptive gripping pressure
Implementation of machine learning for improved object recognition and handling
Development of a collaborative mode for human-robot interaction
Addition of wireless control capabilities via mobile application
Creation of a programmable sequence editor with drag-and-drop interface
Integration with conveyor systems for continuous operation scenarios

Interested in our Robotic Arm project?

Join YugTroniX Club to collaborate on cutting-edge robotics technology and automation solutions!