Enhancing Independence through Intelligent Robotics: An AI-Driven Assistive Robotics Interface

2025/05/13 by Ponomarjova, Katrin-Misel, Wendt, Thomas M., Fischer-Janzen, Anke +2
#Assistive Robotics #Human-Robot Interaction #Real-Time Object Detection

paper · doi:10.60643/urai.v2023p50

Abstract

Applying methods in artificial intelligence to the field of assistive robotics has the potential to increase the independence of people with disabilities. The usage of AI to realize a shared control in this context is controversial, due to the high complexity of everyday tasks and the needed safety requirements. This paper presents the development of a user interface for AI-driven assistive robotic arms (ARA) that aims to assist people with physical disabilities in performing daily activities. This interface allows the user to select object manipulation tasks based on the objects recognized in a live video stream. Further, we compare several state-of-the-art, real-time object detection models to facilitate automatic robotic control. The results demonstrate the feasibility of the model and its potential integration into the overall robotic system.

Related

• Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing
• Learning Multimodal AI Algorithms for Amplifying Limited User Input into High-dimensional Control Space
• Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired
• The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and a Tongue-Drive Interfaces
• Improving the performance of AI-powered Affordable Robotics for Assistive Tasks