Robotics 2024 Project completed

Vision-Guided Six-DoF Robotic Grasping

Object grasping with YOLOv8, Intel RealSense, hand–eye calibration and inverse kinematics.

Concept diagram illustrating the project approach.

Concept diagram illustrating the project approach.

Overview

This independent project integrates RGB-D perception and a six-degree-of-freedom robotic arm into an object-grasping pipeline.

Approach

YOLOv8 detections and Intel RealSense RGB-D measurements provide object observations. Hand–eye calibration maps these measurements into the robot frame, while IKPy provides inverse-kinematics solutions and Python/UART handles arm commands.

Results & Current Status

An integrated perception-to-control grasping pipeline linking object detection, depth sensing, calibration, inverse kinematics and hardware communication.