SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010 FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 1 of 29 PROJECT PERIODIC REPORT Grant Agreement number: 247772 Project acronym: SRS Project title: Multi-Role Shadow Robotic System for Independent Living Funding Scheme: Collaborative Project Date of latest version of Annex I against which the assessment will be made: 2009-12-09 Periodic report: 1 st 2 nd □ 3 rd □ 4 th □ 5 th □ 6 th □ Period covered: from 1 st Feb 2010 to 31 st July 2010 Project co-ordinator name, title and organisation: Dr. Renxi Qiu, Project Manager, Cardiff University Tel: +44(0)29 20875915 Fax: +44(0)29 20874880 E-mail: [email protected]Project website address: http://www.srs-project.eu/
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SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010
FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 1 of 29
PROJECT PERIODIC REPORT
Grant Agreement number: 247772
Project acronym: SRS
Project title: Multi-Role Shadow Robotic System for Independent Living
Funding Scheme: Collaborative Project
Date of latest version of Annex I against which the assessment will be made: 2009-12-09
The SRS project was funded by the European Commission
under the 7th Framework Programme (FP7) – Challenges 7:
Independent living, inclusion and Governance
Coordinator: Cardiff University
SRS
Multi-Role Shadow Robotic System for
Independent Living
Small or medium scale focused research project
(STREP)
SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010
FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 3 of 29
Declaration by the project coordinator
I, as co-ordinator of this project and in line with my obligations as stated in Article II.2.3 of the Grant Agreement declare that: The attached periodic report represents an accurate description of the work carried out in
this project for this reporting period;
The project (tick as appropriate):
has fully achieved its objectives and technical goals for the period;
□ has achieved most of its objectives and technical goals for the period with relatively minor deviations1;
□ has failed to achieve critical objectives and/or is not at all on schedule. The public Website is up to date, if applicable.
To my best knowledge, the financial statements which are being submitted as part of this report are in line with the actual work carried out and are consistent with the report on the resources used for the project (section 3.6) and if applicable with the certificate on financial statement.
All beneficiaries, in particular non-profit public bodies, secondary and higher education establishments, research organisations and SMEs, have declared to have verified their legal status. Any changes have been reported under section 5 (Project Management) in accordance with Article II.3.f of the Grant Agreement.
Name of Coordinator: .............Renxi Qiu.......................................................
Signature of Coordinator: ................................................................
1 If either of these boxes is ticked, the report should reflect these and any remedial actions taken.
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FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 4 of 29
1. Publishable summary
Funding: European Commission (FP7-ICT-247772)
Partners: Cardiff University, UK; Central Laboratory of
Mechatronics and Instrumentation - Bulgarian Academy of Sciences, Bulgaria; Fondazione Don Carlo Gnocchi Onlus, Italy; Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V, Germany; Stuttgart Media University (Hochschule der Medien), Germany; Hewlett-Packard Italiana srl, Italy; Fundacion Instituto Gerontologico Matia – INGEMA, Spain; Profactor GMBH, Austria; Robotnik Automation SLL, Spain; University of Bedfordshire, UK Duration: 1 February 2010 – 31 January 2013.
URL: http://www.srs-project.eu
Description: The project focuses on the development and
prototyping of remotely-controlled, semi-autonomous robotic solutions in domestic environments to support elderly people. In particular, the SRS project will demonstrate an innovative, practical and efficient system called “SRS robot” for personalised home care. Most elderly people want to live in the familiar environment of their own residence for as long as possible. However, not many can live with their adult children and therefore, at some stage, often late in life, have to live alone. Studies show that some forms of home care are usually required as they advance in years. SRS solutions are designed to enable a robot to act as a shadow of its controller. For example, elderly parents can have a robot as a shadow of their children or carers. In this case, adult children or carers can help them remotely and physically with tasks such as getting up or going to bed, doing the laundry and setting up ICT equipment etc. as if
the children or carers were resident in the house. This objective will be realised by the following SRS innovations: A new intent-based remote control mechanism to enable the robots to be tele-operated over a real-world communication network robustly. An adaptive autonomy mechanism to enable a highly efficient task execution for remotely controlled service robots. A new robotic self-learning mechanism to enable the robots to learn from their experience. A safety-oriented framework derived through
extensive usability and user acceptance studies that enable service robots to be effectively deployed into home care applications. The SRS prototypes created with EU support in the SRS project will be tested at the “S.Maria Nascente” Centre in Milano and the IZA Care Center in San Sebastián.
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In Italy, elderly people attended a day care Centre at the geriatric Institute” Palazzolo” in Milan,
professional caregivers were working for the Nuovo Sole Social Cooperative, and health professionals
were working for the geriatric institute Institute “Palazzolo” in Milan. In Germany, elderly people,
family caregivers and professional caregivers were recruited in the community. In Spain, elderly people
were attending Ingema‟s educational activities, health professionals were working for Fundación Matia
and Fundación Ingema and family caregivers were relatives of elderly people attending to a cognitive
stimulation program.
Focus groups conducted. Focus groups are group discussions where a moderator leads participants
through questions about feelings, attitudes, and ideas in one topic of interest. 9 focus groups were
conducted.
FGs number
of
participants
Elderly
people
Family
caregivers
Professional
caregivers
Health
professionals
FDCGO/
HPIS 8 (4F+4M) 6 (5F+1M) 8 (5F+3M)
HdM 11 F 11
(10F+1M) 10 (9F+1M)
INGEMA 3 (2F+1M) 6 (5F+1M) 5 (3F+2M)
Focus group scripts included questions about activities of Daily Living and Instrumental ADLs
(difficulties in carrying out daily tasks), assistive Technology (technology currently in use; future
technology interviewed people wish to use), human-robot interaction (how the people interviewed
imagines robot features and uses) and privacy issues related to the Remote Control function.
Analysis and integration of focus groups results collected in Germany, Italy and Spain was conducted
by Ingema en included in D1.1. Concerning ADLs and IADLs, the activities that are the most difficult
to carry out for elderly people are housekeeping, transferring and mobility, and specific activities
related to shopping, (to carry heavy bags, to remember items to buy). Concerning human-robot
interaction, the robot could be of help in housekeeping activities, emergency situations and, in a minor
extent, in mobility problems. The robot should have a familiar voice and should not be too big.
Concerning acceptance of the remote control function, elderly people seem to put needs fulfilment
before any privacy concerns; caregivers and health professionals seem to worry more about potential
privacy problems than elderly users, but also agree with the system.
Review of instruments available to measure human-robot interaction acceptance and selection of the
the Survey of Technology Use (SoTU) scale as a general instrument that assess technology from an
user perspective. SoTU is included in the Matching Person & Technology (MPT) assessment process
[Institute For Matching Person & Technology: Matching Person & Technology: Model and assessment
process, 2003, revised version 2007].
Preparation of an ad-hoc questionnaire based on SRS specificities (RO possibilities, potential ROs,
privacy and psychological issues).
Data collected on SoTU and questionnaire.
Demographic data of Participants
Category Total Germany Italy Spain
Elderly number 64 28 19 17
Age 77,45 (min
65, max 92)
76,96 (min
65, max 92)
77,05 (min
66, max 87)
78,70 (min
66, max 88)
gender 47F, 17M 23F, 5M 11F, 8M 13F, 4M
Family
Caregivers number 19 10
9
Age 54,53 (min
28, max 69)
53,9 (min
28, max 66)
55,22 (min
44, max 69)
Professional
Caregivers number 22 10 12
age
46,68 (min
29, max 62)
48,1 (min
32, max 62)
45,5 (min
29, max 60)
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Health
Professionals number 24
13 11
age 44,83 (min
27, max 57)
44,78 (min
27, max 57)
44.9 (min
30, max 55)
Results about needs of elderly people in daily life activities, differences between countries and target
groups. The main difficulties experienced by aging people at home as assessed through our interviews
are difficulties related to mobility activities - especially carrying heavy objects and reaching objects -
and housekeeping tasks - where cleaning the windows and cleaning the floor were rated with a very
high score in all the groups of participants. Cleaning the windows is not a task that will be considered
as a task SRS would carry out, mainly because this task only has to be done from time to time and
cheaper solutions are available. Other upsetting difficulties in elderly life assessed in our interviews
derive from difficulties in remembering things and/or remembering to take medicine, while body care
activities didn‟t receive a high score in the quantitative evaluation.
Results about tasks in which help is needed, differences between countries and target groups.
Participants‟ perception of technology, assessed through the SoTU, is mainly positive. Participants‟
perception of usefulness of the robot was variable, but showed a big agree in emergency situations,
pointing the importance of safety issues in independent living. Mobility issues, such as carrying heavy
objects or shopping, obtained high scores. The only items that received clear low score were those from
body care, meaning elderly users still do not trust robot help for personal care.
Results about perception of the robot, differences between countries and target groups. Elderly and
family caregivers wishes show a high preference of a human like appearance, whereas professional
caregivers and health professional would prefer a machine-like system, showing influence of a better
knowledge of assistive technology. Professional caregivers and health professionals show more safety
concerns, while all the groups expressed their worries about the size of the robot.
Results about perception of the RO, differences between countries and target groups. Elderly people
show less concerns than the other groups interviewed, postponing privacy to benefit. A preliminary
authorization to remotely operate SRS was strongly supported by all the groups.
Task 1.2: Define the environment and the application domain
Start date: Month 1
End date: Month 6
Description of work in this task:
Definition of the environment from the user (housing needs, aging in place, psychological motivations,
and physical limitations) and the technological side (Standards & Regulations for robots in home
environment, smart-home possibilities). Definition of the activities to be developed and development of
SRS application scenarios.
Results:
Detailed SRS application scenarios (Deadline: 31 July 2010).
Methodology of Scenario development has been as follows:
- Partners involved in Task 1.1 elaborated drafts of possible scenarios according to data collected in
user requirement studies.
- Drafts presented in the SRS Consortium Meeting hold in Stuttgart 19th and 20th May 2010.
- The whole consortium discussed the proposal of scenarios.
- Technological partners elaborated technical requirements and procedures according to Scenario
specifications.
- Scenario description finally elaborated by Ingema and FDCGO as participants involved in Task 1.2.
- List of actions based on scenario description under development.
Finally, scenarios included D1.1 were:
- For prototype 1,
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Bring objects.
Setting table.
Heating and serving dinner.
Night monitoring (emergency situation).
- For prototype 2,
Day monitoring (social contact and communication).
Standing up assistance.
Reaching difficult objects.
Reminder function.
Shopping.
SRS application scenarios take a narrative approach, but also include description of the actions to be
done based on use case approach. Sketches have been also included.
Example of SRS Scenario sketch for shopping scenario
Task 1.3: Technology Assessments
Start date: Month 1
End date: Month 3
Description of work in this task:
This task conducted the analysis of various robotic technologies and assisted living technology, including
relevant work already launched under FP6 and FP7. Technical related knowledge-base set-up and
guidelines to help the development in the following work packages. The results are being applied in task
1.4 to set-up the SRS specification.
Results:
Telerobotics Control Models assessment. Since telerobotics is one of the earliest fields of robotics, a lot
of research has taken place. The research focuses on recent activities and research projects.
Intelligent Home assessment. Information provided by intelligent homes can be used to enhance the
robot‟s capabilities. An environment that is self-aware about its state is very useful for the operation of
a robot. However, not every home can be converted into an intelligent one and the effort to build an
intelligent home is extensive. Because of that, a research about recent work in that field is provided in
D1.2.
Middlewares, Communication and Open Software Robotic Frameworks/Software Architectures
assessment is introduced. Especially in tele-robotics, operation of a robot without an appropriate
communication concept is to fail. Different software modules have to run on different machines and
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nevertheless communicate over large distances.
Safety assessment. A robot that is not able to interact with the environment in a safe way cannot fulfil
its tasks in a satisfactory manner. Because of that, safety concepts and research activities for robots
have been researched and included in D1.2 (also safety requirements and recommendations in D2.1).
a --b
c
d
e
f
g
h
F1
C1
P1
Starting point
for risk reduction
estimationa, b, c, d, e, f, g, h represent the necessary minimum risk reduction. The link between the necessary minimum risk reduction and the safety integrity level is shown in the table.
W1W2
C = Consequence risk parameter
F = Frequency and exposure time risk
parameter
P = Possibility of avoiding hazard risk
parameter
W = Probability of the unwanted
occurrence
a, b, c ... h = Estimates of the required risk
reduction for the SRSs
a
b
c
d
e
f
g
-a
b
c
d
e
f
Necessary minimum risk
reduction Safety integrity level
- No safety requirements
a No special safety requirements
b, c 1
d 2
e, f 3
g 4
h An E/E/PE SRS is not sufficient
W3
F2
F1
F2P2
P2
P1
C4
C3
C2
Figure: risk graph according to ICE 61508-5 extracted from D1.2.
Interaction technology assessment has been done, including an overview of user interfaces and related
input devices. Complementarily, haptics assessment has also been done as an important technology for
intuitive user interaction.
Cognitive capabilities field has also been studied, including human motion analysis, environment
perception and mobile manipulation. Those technologies enable the robot to obtain knowledge about
itself and the environment it is operating in. Introduction to state of the art in machine learning as also
been included in D1.2. As conclusion, it has been pointed that the semi-autonomous property of the
SRS may also need to be implemented by following three stages of skill acquisition, namely cognitive
stage, associative stage and autonomous stage. It is important to enable the robot to identify its user‟s
intention; main-behaviours mappings and reasoning based on the mappings are essential to the
intention identification. Equally important are generalised skills the robot possesses; hybrid and
innovative approaches will be needed to develop.
Task title: Shadow Robotic System Specification
Start date: Month 4
End date: Month 6
This task defines characteristics of the SRS. It will be analysed and specified as follows:
About specific issues for SRS setup concerning user interaction and safety, in principle there are two
main groups of user interaction (a) control of robot system via remote control by remote operator and
(b) interaction between robot and the primary user at robot site. From safety aspect one major problem
– and also the main difference between SRS and most of the known robot setups for industrial and
service site – is that the primary user does not know what the next activities of the robot (remote
controlled or in automatic mode) are. On the other hand the remote operator needs sufficient
information about the environmental situation at the robot site in order to ensure safety of the
commands sent to the robot. Known problems with remote robot control (such as limited feedback
from use site to remote site, time delay between command and execution and/or between sensing of
environmental change and display of this information to the remote operator) increase complexity and
needs to be considered about their influence to system safety. This has been analysed and further
developed
3.3 WORKPACKAGE 3: Cognitive Capabilities of Remotely-Controlled Robots
Participants: CU, CLMI-BAS, Fraunhofer, HPIS, ROBOTNIK, BED
Leader: Fraunhofer
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FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 16 of 29
Objectives:
To develop methodologies and techniques to enable semi-autonomous operation of remotely-
controlled robots. This includes:
To develop perception capability of remotely controlled service robots
To develop learning capability of remotely controlled service robots
To develop integrated decision making capability of remotely controlled service robots
Deliverables in the report period:
None
Milestones in the report period:
None
Time Planed/Done (Feb 2010 – July 2010):
task title Project Year 1 Project Year 2
1-3 4-6 7-9 8-12 1-3 4-6 7-9 8-12
3.1 Environmental information interpretation Planed
Done
3.2 Human motion interpretation Planed
Done
3.3 Robotic motion interpretation Planed
Done
3.5 Imitation based learning Planed
Done
3.6 Cognitive inference capability Planed
Done
Task implementation details
Task 3.1: Environmental information interpretation
Start date: 1 May 2010
End date: 31 July 2011
Description of work in this task:
Evaluation and implementation of algorithms for point cloud registration with different sensor
systems
Definition of software component in the SRS framework
Definition of interfaces to other components
Expected results:
Point Cloud registration as a base for 3D environment maps ;
Software component ready to be used in SRS framework.
Task 3.2: Human motion interpretation
Start date: 1 May 2010
End date: 31 July 2011
Description of work in this task:
Point Tracking by EKF
This work aims to estimate the pose of a cube, which is a simplified representation of an arm. Thus, state x
is the pose of the cube centre, consisting of six positions and orientation variables as follows,
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FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 17 of 29
T[ , , , , , ]x y z x (1)
Estimation is proceeded in a recursive way. It means the state at time t is impacted by the preceding at time
(t1). Besides it, another input of the estimation algorithm is measurement z, that is, 2D coordinates of
projection points in monitor row-col frame. The output OUT includes state estimate x and accordingly 3D
coordinate estimates of eight vertices in camera frame and their 2D projection positions. See section 3.2
for more details. T{ } [ , ]di r cz (2)
where id indexes displayed points rather than all eight points. Usually, there are four to seven such points
shown in monitor within the eight vertices.
The EKF algorithm process has three parts, namely, prediction based on preceding estimates, correction
based on measurements, and output calculation as a post-processing step. Within them, the first two are
run separately with respect to each displayed 2D projection point. What will be discussed in detail in
section 3.1 is there are nd such points. They are processed in succession and the algebraic mean of the
results stands for the final belief.
Pseudo Markov chain
The current state of the filter depends on two preceding states. Strictly speaking, it violates the Markov
chain hypothesis, which is defined as „a discrete random process with the property that the nest state
depends only on the current state‟ [2]
. In order to follow this rule, if necessary, a solution is expanding the
state x to a 12 member vector to cover the 6 velocity variables. All corresponding entities above need to
accordingly modify.
Expected results:
Algorithm for Motion Detection and Motion Tracking
Task 3.3: Robotic motion interpretation
Start date: 1 May 2010
End date: 31 July 2011
Description of work in this task:
Evaluation of existing methods for robotic motion interpretation on Care-O-bot 3, definition of
requirements for SRS
Definition of software component in the SRS framework
Definition of interfaces to other components
Expected results:
Definition of requirements for SRS done;
Software component ready to be used in SRS framework.
Task title 3.5 Imitation based learning
Start date: 1 May 2010
End date: 31 July 2011
Description of work in this task:
Developing methodology for typical examples identification
Developing learning high-level abstract skills
Developing advanced imitation learning
Expected results:
Defined task classes in line with scenarios specified together with project partners
Collection of tasks within each task class and features identified for the tasks
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Skills format and levels
Learning algorithm evaluation
Learning algorithms of high-level skills
Imitation learning algorithms evaluation
Advanced imitation learning algorithms for SRS
Achievements:
Methodology for typical examples identification
Methods for identifying typical examples are closely related to the design of UI. In the case where the UI
is able to accept linguistic commands from users and to convey to an SRS robot, typical examples can be
characterised using verbs. When a linguistic command is received, the robot can calculate the verb
appears in the command with those that are used to characterise typical example. Verbs‟ feature vectors
are defined to allow the characteristics to be measurable. A verb‟s feature vector f shows how strong the
verb is associated with a set pre-selected of nouns such as:
where is the association between the verb and the ith noun of the set. It takes values in [0, 1] where 0
means that there is no association between the verb and the noun and 1 means the strongest association
between them. The values can be obtained using statistic methods.
Learning high-level abstract skills
Association among task, goal and skill
When a user gives a command to an SRS robot, he/she assigns a task to the robot. A task contains an
ultimate goal for the robot to achieve.
Tasks are arranged in a two-level structure with generalised ones on the top and specific ones, called
typical cases, at the bottom. This way of organising tasks has the following advantages:
Easier for an SRS to distinguish and handle given tasks which are either the same as or similar to
the tasks that the robot knows how to fulfil and those that are new to the robot
Scalable if typical tasks within a category of a generalised task are to be further divided into finer
classes.
A task, at both levels, can be decomposed into sub-tasks each of which has a sub-goal. The decomposition
can carry further until “atomic” sub-tasks reached. A skill is needed to complete an atomic sub-task. To
Cooking
Cook p
izza
Bak
e
potato
Serving drink
Serv
e tea
Serv
e juice
Generalised level
Specific
level
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complete a task, all skills that are needed to complete all atomic sub-tasks will be required and arranged in
such a way that the task can be completed step by step.
Skill classification
Skills can be classified into two categories, tactical skills that are used to complete a specific atomic sub-
task and organisational skills that are used to arrange tactical skills for completing a task step by step.
Tactical skills models
Corresponding to the detailed task level, tactical skills, called specific skills, can be modelled as the
following format:
Skill: If final goal is G
Then set as sub-goals {g1, g2, …, gn} as a tuple, and
Set as actions {ai1, ai2, …, aim} as a tuple for the ith sub-goal, i = 1, …, n, and
An action aij is represented as a trajectory with pre- and post- conditions.
The pre- and post- conditions of an action show the conditions under which the action can be performed
and the consequences of the action, respectively. They can be 2D mental images. An action sequence can
also be represented in a flowchart with testing conditions and branches.
Corresponding to the generalised task level, tactical skills, known as abstract skills, can be modelled such
as:
Skill: If final goal is G
Then set as sub-goals {g1, g2, …, gn} as a tuple,
Set as actions {ai1, ai2, …, aim} as a tuple for the ith sub-goal, i = 1, …, n.
An action sequence can also be represented in a flowchart with testing and branches. The abstract skills
are associated with tasks at the generalised level of the two-level structure.
Tactical skills are stored in human brain in the way that they are associated with tasks. That is, all actions
that are needed for complementing a task are encapsulated in a skill. The abstract skills and specific skills
in SRS will also be stored in the same way, as shown in the following diagram.
Tactical skill learning procedure
1. Task classification – to identify the ultimate goal associated with a given task 2. Task segmentation – to decompose the task into sub-tasks so that is can be completed step by
step and to identify sub-goals associated with each sub-task
Cooking skill
Action c.1.1
(abs) Action c.1.2
(abs) Action c.2.1
(abs) Action c.2.2
(abs) Action c.2.3
(abs) Action c.3.1
(abs)
Cooking pizza
skill Action c.1.1
(imp) Action c.1.2
(imp) Action c.2.1
(imp) Action c.2.2
(imp) Action c.2.3
(imp) Action c.3.1
(imp)
Baking potato
skill Action c.1.1
(imp) Action c.1.2
(imp) Action c.2.1
(imp) Action c.2.2
(imp) Action c.2.3
(imp) Action c.3.1
(imp)
Abstract skill Specific skill
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3. Tactical skill learning – to acquire skills that are used to achieve the sub-goals at both abstract level and specific level
4. Organisational skill learning – to acquire skills about how sub-goals are set given a task. (See the following diagram.)
Feature capture
Similarity calculation
CommandsCommands
Task/GoalTask/Goal
Segmentation
Perception
Sub-tasks/goalsSub-tasks/goals
New sub-goal ID
New action ID
Pre-/post-condition identification
Action and pre-/post-condition
association
Action sequence formating
Sub-goal and action sequence
association
Actions
Pre-/post-conditionsPre-/post-conditions
Formalised actionsFormalised actions
Sub-goal sequence
If … then rules generation
Generalisation
Tactical skillsTactical skills
Organisational skillsOrganisational skills
Task learning inputs
The following information will be needed for learning:
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Context information, including (from ROS) geometry_maga/PoseStamped, trajectory-msgs/PoseStamped, geometry_msga/TwistStamped, std_msgs/String, cob_msgs/Tigger
Commands (from Local User Interface)
Remote operators’ intention (optional).
Task 3.6: Cognitive inference capability
Start date: 1 May 2010
End date: 31 July 2011
Description of work in this task:
Developing a case-based mechanism/algorithm for an SRS robot to what skills will be needed to
complete a given task
Defining a way in which remote user‟s intervene introduced
Expected results:
Typical case identified
Similarity measures between cases evaluated and defined for SRS
Case-based reasoning mechanism/algorithm
Way of human intervene
Achievement:
In order to develop cognitive inference capability for SRS robots, the following scopes are defined:
Consciousness
An SRS robot will be able to recognise
Local users who are in different postures
Different types of furniture such as table, cupboard and door, and
Objects such as bottles, cups and door handle, when approaching to them.
Note: The postures, furniture and objects should be further defined according to testing scenarios used in
the project.
User intention recognition
While being manipulated by a remote user, an SRS robot will be able to
Segment actions it is controlled to perform into sub-tasks
Identify sub-goals that are associated with the sub-tasks, and
Recognise the operator‟s intention through the process of being controlled in completion of a
serious of sub-tasks.
3.4 WORKPACKAGE 7: Dissemination and Exploitation
Participants: ALL
Leader: PROFACTOR
Objectives:
To disseminate widely information on the problems to be addressed, the existence of the project and
its results and achievements, through effective multimedia dissemination material;
To raise awareness about the possibilities offered by SRS by direct contact with potential user groups,
care organisations, and others;
To promote and exploit the project results.
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Deliverables in the report period:
None
Milestones in the report period:
None
Time Planed/Done (Feb 2010 – July 2010):
task title Project Year 1 Project Year 2 Project Year 3
1-3 4-6 7-9 8-12 1-3 4-6 7-9 8-12
7.1 Exploitation of commercial potential of the developed technology
Planed
Done
7.3 Dissemination towards the robotic and home care industry
Planed
Done
Task 7.1: Exploitation of commercial potential of the developed technology
Start date: 1 May 2010
End date: 31 Jan 2013
Description of work in this task:
The objective of this task is to define and implement SRS exploitation plan. The marketing analysis survey
will be initiated through the realisation and circulation of a relevant template for collecting structured data
on each aspect of the project. The task leader will carry on an analysis of the project results at month12
and update it every 6 months.
The initial market survey has been carried out;
DELILA poster has been produced;
Literature and web search have been carried out;
Expected results:
As planned
Task 7.2: Dissemination towards the robotic and home care industry
Start date: 1 May 2010
End date: 31 Jan 2013
Description of work in this task:
The objective of this task is to define and implement SRS exploitation plan. The marketing analysis survey
will be initiated through the realisation and circulation of a relevant template for collecting structured data
on each aspect of the project. The task leader will carry on an analysis of the project results at month12
and update it every 6 months. The project information has been disseminated through:
Project Website
Project Partners‟ Websites
EURON
ETFA 2010
Workshop on Biomathematics 26-27 May, Sofia, Bulgaria, was presented a lecture about SRS project
development, entitled – “Service Robots for Supporting Elderly Peoples”.
Expected results:
As planned
SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010
FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 23 of 29
4. Deliverables and milestones tables
Deliverables (excluding the periodic and final reports)
TABLE 1. DELIVERABLES
2
Del. no.
Deliverable name WP no. Lead participant
Nature
Dissemination level
Due delivery date from Annex I
Delivered Yes/No
Actual / Forecast delivery date
Comments
D1.2 Report on
Technology
assessments (task
1.3)
WP1 FRAUNHOFE
R
R PU 30th
April
2010
YES 27th
May 2010
D8.1 Project presentation;
web first version
available to all
partners
WP8 CU R PU 30th
April
2010
YES 27th
May 2010
D8.2 Quality plan &
evaluation/success
criteria
WP8 CU R RE 30th
April
2010
YES 27th
May 2010
D1.1 Detailed user
requirements,
environment
definition, general
guidelines on ethical
concerns and SRS
scenario report
WP1 INGEMA R PU 31st July
2010
NO 6th
Sep 2010
D1.3 SRS Initial
Knowledge-base and
WP1 CU R PU 31st July
2010
NO 6th
Sep 2010
2 For Security Projects the template for the deliverables list in Annex A1 has to be used.
SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010
FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 24 of 29
SRS hardware,
software
communication, and
intelligence
specification
D2.1
a
Definition of Privacy
policy; requirements
and usability study
based on specific
needs of elderly
WP2 INGEMA R PU 31st July
2010
NO 6th
Sep 2010
Milestones
TABLE 2. MILESTONES
Milestone
no. Milestone name Due achievement
date from Annex I Achieved Yes/No
Actual / Forecast achievement date
Comments
M1a SRS user requirement
specified and ethical
national review approved
for the project
30th
April 2010 YES 30th
April 2010 User requirement presented in project Stuttgart
Meeting.
Ethical approval letters received for relevant
partners .
M1b SRS Scenario &
Specification has been
precisely defined
31st July 2010 YES 31
st July 2010 Reported in D1.1 and D1.3
M14 Project Quality Plan ready
for use 31
st July 2010 YES 31
st July 2010 Reported in D8.2
SRS Deliverable 8.3 - 1 Due date: 31 JULY 2010
FP7 ICT Contract No. 247772 1 February 2010 – 31 January 2013 Page 25 of 29
5. Project management
5.1 Objectives:
• To coordinate and manage the project activities in administrative, technical and financial terms;
• To provide a communication medium between the project partners and the Commission;
• To assure the quality of the project outcomes;
• To maintain the consortium agreement.
5.2 Work performed:
• Project co-ordination and financial management;
• Management of RTD, dissemination and exploitation activities;
• Management of intellectual assets;
• Quality assurance / review & assessment.
5.3 Results achieved:
• Monthly/quarterly/six-monthly progress reports have been done by all partners;
• The EC funding has been allocated to all the consortium members;
• Project deliverables (D1.2, D8.1, D8.2, D1.1, D1.3, D2.1a, D8.3-1 and D8.4-1) have been / are
being delivered to the Commission as scheduled.
5.4 Project website: Official SRS website (http://www.srs-project.eu) and a project wiki (http://wiki.srs-project.eu)
have been set up by the end of month 3 for both consortium members‟ and public access. The
websites are maintained daily during to report project activities, progress and achievements. The
wiki will be used for internal collaboration. It contains project draft documents, presentations
and records of internal discussions.
5.5 Tele conference
Although the project still holds its meetings as planned in order resolve an issue quickly, to save
time and to minimise cost of travel when appropriate the project partners make maximal use of
teleconferencing. After careful cost/benefit analysis which included several possible
teleconference solutions the project partners selected to use the hosted teleconferences provided
by FreeConferenceCall International where a low cost dial-in number is given for most of the
countries where SRS partners reside. Major factor in selection of this teleconference solution
was the fact that the sound quality does not deteriorate significantly compared with free solutions
like Skype when a number of participants take part in the call. Two major teleconferences have