AI-Based Smart Mobile Robotic Arm with Adaptive Gripping System

Abstract: This research presents the design and development of an AI-based smart mobile robotic arm with an adaptive gripping system, designed to address critical challenges in autonomous manipulation and intelligent automation. The proposed system integrates advanced artificial intelligence algorithms with mobile manipulation capabilities, enabling autonomous navigation in complex environments through multi-sensor fusion and real-time environmental perception. At the core of the system is a sophisticated computer vision framework employing lightweight Convolutional Neural Network models and OpenCV for precise object detection, recognition, and localization, allowing the robotic arm to identify and manipulate objects with varying shapes, sizes, and orientations without prior knowledge of their positions. The adaptive gripping mechanism dynamically adjusts to object characteristics, ensuring reliable grasping across diverse scenarios. The system architecture combines a mobile platform with a multi-degree-of-freedom robotic arm, controlled through embedded systems such as Raspberry Pi, facilitating seamless coordination between perception, motion planning, and manipulation modules. Key innovations include real-time image processing, dynamic path planning, and intelligent grasp strategies that enable the system to operate effectively in unstructured environments where object locations are not predefined. Experimental validation demonstrates the system's capability to perform autonomous pick-and-place operations with high accuracy and adaptability, making it suitable for applications in intelligent warehousing, industrial automation, material handling, and assistive robotics. The integration of AI-driven perception with robust mechanical design represents a significant advancement in autonomous robotic manipulation technology, offering a scalable and cost-effective solution for modern automation challenges.

Keywords: Artificial Intelligence, Mobile Robotic Arm, Adaptive Gripping System, Computer Vision, Object Detection, Autonomous Navigation, Pick-and-Place Operations, Multi-Sensor Fusion, Real-Time Image Processing, Intelligent Automation, Robotic Manipulation, Deep Learning, Embedded Control, Motion Planning, Human-Robot Interaction