IEEE Robotics & Automation Magazine - September 2015 - 106
106
*
IEEE ROBOTICS & AUTOMATION MAGAZINE
*
September 2015
Voluntary
Changes
Inclined
Surfaces
Obstacles
Include
Detailed
Protocol
Be Easy
to Use in
Lab
Be
Applicable
to Different
Sizes
Degrees of
Freedom
Real Versus
Simulated
Weight
3.52*
Pushes
3.72
3.40
3.32
3.17
3.50
3.29
3.11
2.89
2.48
Soft
Changes in
Slippery Added Weight
Terrain Sensor Availability Surfaces
on Body
3.47
2.13
Moving
Surfaces
2.96
Geographical Distribution
Europe: 37%
United States/Canada: 18%
Japan/Korea: 3%
Other: 4%
Unknown: 38%
Size
Control
Details
3.88*
3.46*
3.39
3.22
3.06*
** Belonging to any of the projects H2R,
BALANCE, KoroiBot, WALK-MAN, BioMot.
Mean Score $ 4
Other
5 = Very Relevant
3 $ Mean Score # 4
Human
* Significant Difference Across Communities
Mean Score # 3 1 = Not Relevant
Wearable Robot
Humanoid
Legend
Photo of the Visual Perception Cognitive Anthropometric Name of the
System
Abilities
Abilites
Aspect
System
3.57*
Linked to the Authors of the Survey**
Linked: 9%
Not Linked: 64%
Unknown : 27%
Type of
Actuation
3.93*
Figure 1. (Continued) The results of the web-based survey: the 161 respondents to the questionnaire are international experts that were contacted through the following workshops,
networks, or forums: the aforementioned involved research projects, i.e., H2R, BALANCE, KoroiBot, WALK-MAN, and BioMot; the euRobotics or Euron mailing list, Biomch-L mailing list,
and robotics_worldwide mailing list; WeRob2014-The 2014 International Workshop on Wearable Robotics (werob2014.org); the European Network on Robotics for NeuroRehabilitation
(European Commission COST Action TD1006, www.rehabilitationrobotics.eu); Dynamic Walking (dynamicwalking.org/); and the RehabRobotics mailing list (associated with ICORR, http://
www.rehabrobotics.org/).
Professional Background
Academia: 47%
RTO: 9%
Industry: 4%
Clinical: 2%
Unknown: 38%
Additional Information on Respondents:
1
2
3
4
5
3.66*
Unperturbed
Conditions
3.76
Include
Suggest
Be
Automatically Calculate
Suggest Benchmark Applicable
Be
Be
Data Measurement Usable
Compare Automatically Perturbation on Simple
by
Anonymous Based on
Storage
System
Outside
with
from
Devices
Scale
Nonexpert
Competition
the Lab
Database Raw Data
(1-10)
Personnel
3.66
Rough
Terrain
9) Relevant Information to Contextualize the Results Should Be:
4.32
4.32*
4.27*
4.24*
1
2
3
4
5
8) The Ideal Benchmarking Scheme Should:
4.24
4.17
4.05
3.70
1
2
3
4
5
7) Which Types of Environmental Conditions Are Relevant?
4.16
3.85
3.82
3.81
http://http://
http://www.werob2014.org
http://www.dynamicwalking.org/
http://www.rehabilitationrobotics.eu
http://www.rehabrobotics.org/
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IEEE Robotics & Automation Magazine - September 2015 - Cover3
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