Published February 15, 2017 | Version v1
Journal article Restricted

Learning by Demonstration for Planning Activities of Daily Living in Rehabilitation and Assistive Robotics

  • 1. Unit of Biomedical Robotics and Biomicrosystems, Department of Engineering, Università Campus Bio-Medico, Rome, Italy

Description

Raw data acquired necessary to perform the algorithm introduced in this paper.

a) Fig5.xlsx 
In this file the robot joint 3 motion shown in figure 5 is reported (in radians) for the Optimized kernel, Equally spaced kernel and the recorded trajectory. 

b) Fig6.xlsx 
In this file the robot joint 5 motion shown in figure 6 is reported (in radians) for the Optimized kernel, Equally spaced kernel and the recorded trajectory. 

c) Fig7.xlsx 
In this file the robot X and Y Cartesian coordinates, recorded during the drinking task performing, shown in figure 7 are reported (in metres) for the different objects positions illustrated in Fig. 4

d) Fig8.xlsx 
In this file the robot X and Y Cartesian coordinates, recorded during the eating task performing, shown in figure 8 are reported (in metres) for the different objects positions illustrated in Fig. 4

d) Tab1.xlsx 
In this file the mean value of the robot joints motion, computed on the 3 tasks (i.e. drinking, pouring and eating) and eigth subjects and used to extract the performance indices of Tab1, are reported (in radiants) for the Optimized kernel, Equally spaced kernel and the recorded trajectory. 


d) Tab2_3_4.xlsx 
In this file the mean value of the robot Cartesian coordinates, computed on the eigth subjects during the drinking, pouring and eating task performing and used to extract the performance indices of Tab2-3-4, are reported (in metres) for the Optimized kernel, Equally spaced kernel and the recorded trajectory. 

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Additional details

Funding

European Commission
AIDE - Adaptive Multimodal Interfaces to Assist Disabled People in Daily Activities 645322