ABSTRACT

The project focuses on developing a collaborative robotic arm system that integrates advanced computer vision technology. The system also incorporates inverse kinematics for precise motion planning, allowing the robotic arm to handle tasks such as gripping and placing objects with precision. Furthermore, the system is designed to interface with Internet of Things (IoT) applications, enabling remote monitoring and control, which enhances its adaptability for various automation environments. Challenges encountered during the development included processing latency and environmental adaptability, which were addressed through fine-tuning algorithms and optimizing real-time processing capabilities.

Keywords: Collaborative robotic arm, computer vision, ResNeXt50, ResNeXt101, inverse kinematics, object recognition
https://doi.org/10.57180/pose1590