Abstract: In this study, we dive into the amazing world of robotic arms and explore how they can effectively identify, track, and manipulate objects in dynamic environments. We start by discussing the fundamental components and workings of robotic arms. Then, we explore object detection and recognition techniques like computer vision and machine learning to help the robotic arm accurately identify and categorize objects. Planning and control are crucial aspects, where we delve into planning algorithms for determining optimal trajectories and movements, as well as control algorithms to ensure precise and efficient manipulation of objects. Sensors, such as cameras and force sensors, provide vital feedback about the environment, while actuators like motors and pneumatic systems enable the arm to physically manipulate objects. Throughout our research, we address challenges and discuss potential future directions in this exciting field. By improving the capabilities of robotic arms in object segregation, we hope to contribute to the development of intelligent and efficient robotic systems.
Keywords: Robotic Arm Technology, Object Detecting, Servo Motors, Sensors, Robotic Arm Control Systems.
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DOI:
10.17148/IJARCCE.2024.13416
