Gesture Controlled 6 DoF Manipulator with Custom Gripper for Pick and Place Operation using ROS2 Framework

This paper presents a gesture-controlled six-degree-of-freedom (6-DoF) manipulator with a custom-designed gripper for practical pick-and-place tasks, a new approach to human robot interaction. The robotic arm can be controlled smoothly by integrating cutting-edge sensing technologies and real-time processing algorithms that accurately understand human motions. This allows the robot to be controlled remotely, which is safe for the operator. This manipulator's specially-made gripper is optimised for pick-and-place operations and can accommodate various object sizes and shapes. Incorporating intelligent sensors and machine learning algorithms augments the manipulator's capacity to comprehend and adjust to its surroundings, guaranteeing accurate and dependable object manipulation. The gesture control interface uses modern computer vision and machine learning techniques to communicate naturally between the user and the robotic system. The suggested approach encourages accuracy, speed, and usability results through a thorough study, highlighting its potential to improve human-robot collaboration in industrial settings. The present study advances the field of robotic manipulation by presenting an intuitive and effective control mechanism and tackling issues of precision and flexibility in pick-and-place tasks. The system that has been built has the potential to transform the relationship between humans and robots, increasing accessibility and versatility in a wide range of applications.