Yifei Zhang¹ and Jonathan Sahagun², ¹USA, ²California State Polytechnic University, USA

This paper addresses the challenge of automating household tasks, focusing on enhancing robot arm capabilities for tasks such as cloth handling and dynamic object manipulation [1]. Our proposed solution involves a robot arm equipped with advanced computer vision, angle calculation modules, and serial communication [2]. We tested the system's performance in object classification and handling dynamic environments. Challenges included inaccuracies in object recognition and adaptability issues. We addressed these by improving the vision model with more diverse training data and enhancing the arm's mechanical and computational capabilities [3]. The experiments demonstrated the system's potential for real-time, effective task automation [4]. Our improvements lead to a more adaptable and precise solution, making it a valuable tool for household and environmental applications. The project ultimately offers a significant advancement in automating mundane tasks, providing a practical and efficient solution for everyday use.

Robot Arm Automation, Dynamic Object Manipulation, Computer Vision Integration, Household Task Automation