Flexible Assistive Robots Through AFO-Based Intention Detection

Turning Assistive Machines into Assistive Robots

For decades, the potential for automation—in particular, in the form of smart wheelchairs—to aid those with motor, or cognitive, impairments has been recognized. It is a paradox that often the more severe a person’s motor impairment, the more challenging it is for them to operate the very assistive machines which might enhance their quality of life. A primary aim of my lab is to address this co...

Intention Driven Assistive Wheelchair Navigation

This paper presents an intelligent decision-making agent to assist wheelchair users in their daily navigation activities. The system has the ability to predict the users’ intended destination at a larger scale, that of a typical office or home arena. This system relies on minimal user input obtained from a standard wheelchair joystick in conjunction with a learned Partially Observable Markov De...

Controls for Assistive Robots

A Cloth Detection Method Based on Image Wrinkle Feature for Daily Assistive Robots

This paper describes an image based clothes detection method. Our method enables daily assistive robots to find clothes which are readily placed on real environments. No prior knowledge related to shape model or color information is needed because wrinkles on a cloth are extracted as image feature. The feature is constructed through SVM learning by using training data which is the result of Gab...

Bio-signal based control in assistive robots: a survey

0.1016/j.dcan.201 hongqing Universi thor. : [email protected] responsibility of Abstract Recently, bio-signal based control has been gradually deployed in biomedical devices and assistive robots for improving the quality of life of disabled and elderly people, among which electromyography (EMG) and electroencephalography (EEG) bio-signals are being used widely. This paper reviews the deployment o...