Year: 2025
Type: conference-paper
Abstract: In recent years, machine learning and artificial intelligence are essential to all areas of engineering. In this study, we investigate a bioinspired wire-actuated robotic arm that uses artificial intelligence and machine learning techniques to predict the mechanical properties of its material and replicate the motion of a human arm. In this study, flex and gyro sensors detect hand movements, wires allow joint and finger movement, and a microprocessor facilitates teleoperation. Inspired by human anatomy and spider monkeys, this smooth interaction seamlessly connects human intention and robotic action. The flexible and adaptable arm is safe for medical and collaborative applications, such as assisting operators in industrial settings or carrying out medical procedures, and it enhances performance and efficiency.
Source: AIJR Proceedings
Authors: Abhendra Pratap Singh, Sahil Khan
Institution: Guru Gobind Singh Indraprastha University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408855980