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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Hamburg - Germany
October</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>The path to success: Failures in rEal Robots (FinE-R)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Luis Fernando D'Haro</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Member</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andreea I. Niculescu</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Aravindkumar Vijayalingam</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marco A. Gutierrez</string-name>
          <email>marcog@unex.es</email>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Member</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Suraj Nair</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rafael E. Banchs</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Member IEEE</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>21-01 Connexis (South</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Aravindkumar Vijayalingam and Suraj Nair work at TUM-Create</institution>
          ,
          <addr-line>1</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Luis Fernando D'Haro, Andreea I. Niculescu and Rafael Banchs work at the Human Language Techonology Group in the Institute for Infocomm Research (I2R - A</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Marco Antonio Gutierrez is PhD student at the Robotics Laboratory (Robolab), Computer and Communication Technology Dept in the University of Extremadura, Spain. Polytechnic School, University of Research Attachment Programme (ARAP) at the Human Language Technology Department of Institute for Infocomm Research</institution>
          ,
          <country country="SG">Singapore</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>STAR).</institution>
          <addr-line>1 Fusionopolis Way</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2015</year>
      </pub-date>
      <volume>2</volume>
      <issue>2015</issue>
      <abstract>
        <p>- This paper presents our motivation for organizing the FinE-R workshop at IROS 2015, as well as a summary of all accepted papers. The main workshop goal is to provide an open exchange forum to the robotic community where participants can share their personal “failure to success” stories. We believe that such exchanges are of tremendous importance for the community as they provide a rich source of knowledge on how to avoid future mistakes with possible high impact. On the other hand, the papers accepted in the workshop give a good overview of different types of errors encountered in the robotic fields. Through deep analysis and clear description of failures, the authors of these papers contribute to a learning process by extracting positive experiences and conclusions from negative results leading ultimately to success.</p>
      </abstract>
      <kwd-group>
        <kwd>Workshop goals</kwd>
        <kwd>summary of accepted papers</kwd>
        <kwd>failure analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>I. INTRODUCTION</title>
      <p>
        Along the history there have been many important
discoveries that resulted from long trials and error processes,
like the ones done for the creation of the electric light bulb by
Tomas A. Edison [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] (who is believed to have made
thousands of experiments before successfully creating the
incandescent lamp). Similarly, other important discoveries
came out from analyzing 'failed' results as, for instance, the
famous Michelson-Morley experiment in the late 1880’s,
designed to enhance the accuracy of the prevalent Aether
theory. In this case, their efforts to advance the theory led to a
continual rejection of their research hypotheses. However,
their null results were published in [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] and later played an
important role in inspiring new experiments and paradigms,
like the special theory of relativity proposed by Albert
Einstein in 1905. In each case, the key point for the final
success and contribution to the science was the willingness of
the researchers to learn from previous mistakes and to share
the gained experience with the scientific community.
      </p>
      <p>As many other sciences, the path to progress in the field of
robotics is not free of failures and caveats. These failures
provide valuable lessons and insights on future approaches by
analyzing errors and finding methods to avoid them. As such,
the robotics community could benefit from the experience of
those who had faced and overcome similar failures before.</p>
      <p>The objective of this workshop is then to provide an
international forum for researchers in robotics and its related
fields, where they can share their personal experiences on
their "failure to success" stories, to present what they have
learnt, what others should avoid while experimenting in
similar context, and providing tips for better research
practices and for creating more successful robots that meet
people's expectations.</p>
    </sec>
    <sec id="sec-2">
      <title>II. MOTIVATION FOR THE WORKSHOP</title>
      <p>
        Nowadays, in the scientific community only successful
theories and positive results have a chance of being regarded
as true, and then published in prestigious publications,
discarding odd and unexpected findings. However, the
success of these theories does not warrant that they are truth
neither prove their adequacy to realism. Unfortunately, the
current scientific publishing system privileges “successful”
results as it is expected that their research findings will be in
alignment with well-established literature or with expected
outcomes. However, as pointed by [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ], research is a “voyage
of discovery”, which is subject to unpredictability and
fallibility, therefore science evolves according to testability,
which might result in refutations or confirmations, as well on
the absence of anticipated correlations or in failed results, but
in any case, it should be clear that both kind of results
contribute to the advance of the science.
      </p>
      <p>
        However, ignoring the huge amount of information that
negative results can provide (which, according to [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], are
statistically more trustworthy than positive data) is
troublesome. Firstly, because by doing so, an important bias
in the scientific publications is created since only certain
pieces of information are provided. Regrettably, this tendency
is yearly increased as pointed by [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], whom after analyzing
over 4,600 papers published in different disciplines between
1990 and 2007 found that the proportion of published
negative results dropped from 30% to 14% between 1990 and
2007, and with significant differences between disciplines and
countries. Secondly, this tendency of omitting information
can cause a huge waste of time and resources, as other
scientists considering similar questions may perform the same
experiments; besides, this can also delay the development of
new ideas inspired on the ‘unsuccessful’ results. Finally, as
pointed by [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], this problem is increased by the misconception
that publishing negative results might harm scientists’
reputations or, furthermore, it might give the perception that a
project was poorly designed and the researchers were either
Page 1
unknowledgeable about the subject or incapable of tailoring
more robust research hypotheses. To make things worse,
some scientists will not report negative results just to avoid
their papers to be rejected by the peer-reviewers, who could
give priority to other studies with “successful” results or that
follow a more popular theory or approach.
      </p>
      <p>Fortunately, the scientific community is becoming aware
that negative results are not meaningless and that there is a
potential value in sharing also negative results and discussing
the lessons learnt after analyzing the failures, as well as in
explaining what were the keys to avoid problems and achieve
successful results. Some examples of this tendency can be
seem in the New Negatives in Plant journal4 that according to
their scope is “an open access, peer reviewed, online journal
that publishes hypothesis-driven, scientifically sound studies
describing unexpected, controversial, dissenting, and/or null
(negative) results in basic plant sciences. The journal also
consider studies that validate controversial results or results
that cannot reproduce previously published data”, or in the
new approach supported by the Wealth Health Organization
(WHO)5 that has a new policy of publishing, in their peer
reviewed journal, results of clinical trials that include also
negative findings.</p>
      <p>Following such examples and taking into account that the
scientist community working in the robotics field can also
benefit of following a similar approach, we decided to
propose FinE-R (Failure in Real Robots), a workshop in the
context of IROS6 (IEEE/RSJ International Conference on
Intelligent Robots and Systems) conference. For this, we
decided not only to focus on presenting the negative results
obtained while working on real robots, but also on how the
researchers were able to extract meaningful lessons from their
failures and what kind of solutions they proposed to finally
overcome their problems. Then, we made the FinE-R’s call
for papers targeting at the following topics:
 Analysis of failures when participating in robotic
challenges.
 Design of robust human-computer interfaces for robots.
 Description of problems and solutions faced when failure
is not an option, therefore there is the need of creating an
outstanding robot from hardware to software.
 Description of benchmarking and tools for testing and
creating robust robots.
 Description of techniques to avoid common but
frequently seen errors when deploying robots for
industrial or general public environments.
 Description of advanced techniques for failure recovery
and troubleshooting.
 Matching the expectations and needs of industries and
consumers with the current technology.
4
http://www.journals.elsevier.com/new-negatives-in-plantscience
5 http://www.who.int/ictrp/results/reporting/en/
6 http://www.iros2015.org
 Description of alternatives to techniques and algorithms
that are prone to fail.
 Presentation of keys for successful research projects and
proposals on robotics.
 Analysis of failed results and projects when using smart
algorithms, well-established techniques or brilliant
designs.</p>
      <p>These proposed topics not only were in line with the idea
of learning from failures, that is central to our workshop, but
also allowed to differentiate FinE-R from other workshops
that are mainly centered on specific and vertical topics or
areas of research. With FinE-R we aim at providing a space
for sharing practices and experiences of robot design and
construction across multiple disciplines, therefore making the
workshop more interesting and open to a wider audience.</p>
      <p>Finally, it is worth mentioning that it was gratifying for us
to read comments from reviewers of the Workshop proposal
about the appropriateness and timelines of an initiative such
as FinE-R. Some examples of these are:</p>
      <p>“This is a very interesting proposal as learning from
failure in real-world applications is an important and
essential capability for robots. This is not a topic not well
addressed so far. It is very good to see a group of people
discussing this”</p>
      <p>“This workshop will provide such a unique opportunity
that we can learn from not only our own failure but also
others. We surely need such a workshop. Topics cover wide
ranges. Speakers are from well-known organizations. Suggest
leaving more time for discussions.”</p>
    </sec>
    <sec id="sec-3">
      <title>III. SUMMARY OF CONTRIBUTIONS</title>
      <p>In this section we summarize the accepted contributions to
the first edition of FinE-R. All submissions went through a
single blind review process. In average, all papers received
three reviews.</p>
      <sec id="sec-3-1">
        <title>A. Skill-based Exception Handling and Error Recovery for</title>
      </sec>
      <sec id="sec-3-2">
        <title>Collaborative Industrial Robots</title>
        <p>
          Written by Billesø et al [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ], this paper discusses the
problem of error handling and recovery in the context of open
human workspaces. The authors propose a skill-based
exception handling and error recovery approach that allows
non-robot expert users to operate a robotic system in open
environment where other human co-workers are present. The
paper presents the skill-based execution model and describes
the situation assessment module which learns and monitors
the skill execution. Further, the authors show in details how
their exception handler model based on a hierarchical four
layered Bayesian network works. Non-expert users can accept
or reject a solution of an error handling strategy using a
simple GUI. The user preference is learned by the system for
future re-use.
        </p>
      </sec>
      <sec id="sec-3-3">
        <title>Autonomous Robots to</title>
      </sec>
      <sec id="sec-3-4">
        <title>Diagnose</title>
      </sec>
      <sec id="sec-3-5">
        <title>Wireless</title>
      </sec>
      <sec id="sec-3-6">
        <title>B. Using</title>
      </sec>
      <sec id="sec-3-7">
        <title>Connectivity</title>
        <p>
          This paper, written by Wang et al [
          <xref ref-type="bibr" rid="ref8">8</xref>
          ], presents a
method/system for diagnosis of wireless connectivity issues
through the use of autonomous robots within the author's
building infrastructure. The proposed study and solution is of
Page 2
interest for most robotic laboratories when dealing with
wireless connectivity problems. The authors claim that using
this method they were able to improve the diagnosis of
wireless connectivity issues as compared to manual methods.
        </p>
      </sec>
      <sec id="sec-3-8">
        <title>C. Soft, Robust Robots for Children with Autism Spectrum</title>
      </sec>
      <sec id="sec-3-9">
        <title>Disorder</title>
        <p>
          In this paper, Hong Tuan and Cabibihan [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ] describe an
experimental comparison between polyester resin and silicone
rubber as casing materials for protecting robotic circuitry and
servomechanism. The main motivation of the work is on
enhancing physical robustness of social robots when used for
therapeutic purposes, more specifically in interaction with
children suffering autism spectrum disorder.
        </p>
      </sec>
      <sec id="sec-3-10">
        <title>D. Adapting Low-Cost Platforms for Robotics Research</title>
        <p>
          In this paper [
          <xref ref-type="bibr" rid="ref10">10</xref>
          ], Karimpanal et al. explain the design
process of EvoBot, a low-cost, open source, general purpose
platform to enable testing and validation of robotics
algorithms. It has a differential base with two powered wheels
and two casters. It includes Bluetooth, a Wi-Fi enabled
camera and several sensors. The paper describes specially the
design process and solutions of low-cost platforms for swarm
robotics research, as well as the adaptation process of swarm
robotics algorithms from simulation to real scenarios. The
lessons learned when designing and adapting the robot are
also discussed. Finally, the paper addresses how to adapt
some common representative tasks for the platform, along
with some potential problems and possible solutions.
        </p>
      </sec>
      <sec id="sec-3-11">
        <title>E. Improvements and considerations related to humanrobot interaction in the design of a new version of the robotic head Muecas</title>
        <p>
          In this paper [
          <xref ref-type="bibr" rid="ref11">11</xref>
          ], Felipe Cid and Pedro Núñez describe
some design improvements for a robotic head called
“Muecas”. These improvements include both actuators and
sensors aimed at providing the system with better
communication capabilities for an enhanced human-robot
interaction. The authors support their design decisions on
some psychological theories based on emotional and
communicational phenomena. The paper focuses on
incremental design cycles for improving existent robotic
platforms by incorporating new features and functions based
on the lessons learned from the past.
        </p>
      </sec>
      <sec id="sec-3-12">
        <title>F. Lessons from the Design and Testing of a Novel Spring</title>
      </sec>
      <sec id="sec-3-13">
        <title>Powered Passive Robot Joint</title>
        <p>
          This article [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ], written by Short et al, narrates the
researchers’ journey towards the design, building and testing
of a torsional spring joint. It focuses on the problems
encountered during this process, as well as the lessons learned
for the future.
        </p>
        <p>One problem engineers are often dealing with is the short
time schedule they have to make certain assumptions and
estimations. This can often lead to troubles in the assembly
and testing phase. As such, the spring joint prototype
designed by the authors went twice through a cycle of
assembly, testing, and redesign before the arriving at the final
stage. During this process, the authors mention that they
identified three problems and reported five learned lessons
from their design experience.</p>
      </sec>
      <sec id="sec-3-14">
        <title>G. Design, Simulation and Implementation of a 3-PUU</title>
      </sec>
      <sec id="sec-3-15">
        <title>Parallel Mechanism for a Macro/mini Manipulator</title>
        <p>
          In [
          <xref ref-type="bibr" rid="ref13">13</xref>
          ], Zheng et al. present the design of a 3-PUU
parallel mechanism which is used as a mini manipulator in a
macro/mini manipulator configuration. The mechanism is
suitable for applications requiring precision force control. The
paper describes the shortcomings in the initial attempt to
design the system and further discusses new methods and
strategies adopted by the authors to overcome these
deficiencies. The mechanism is a parallel kinematic
mechanism for pure translation motion of the end effector
platform. This is achieved through three prismatic actuators
and three universal joints. The authors faced difficulties in
achieving pure translation motion at the end effector and they
successfully trace the source of the problems to be
mathematical singularities and irregularities in the
construction of the universal joints purchased off the shelf.
The authors further demonstrate how they learn from the
initial attempt failures and device a new parallelogram based
configuration for the universal joint mechanism in order to
reduce backlash.
        </p>
      </sec>
      <sec id="sec-3-16">
        <title>H. Intelligence Level Performance Standards Research for</title>
      </sec>
      <sec id="sec-3-17">
        <title>Autonomous Vehicles</title>
        <p>
          In this paper [
          <xref ref-type="bibr" rid="ref14">14</xref>
          ], written by Bostelman et al, the authors
discuss standards development for performance of
Autonomous Guided Vehicles (AGV) and optical
measurement systems that are used to measure such vehicle
performance. The paper discusses benchmarking standards
for AGV and the issues faced with developing such a
standard. The paper focuses on standards in four areas.
Firstly, standards for vehicle navigation in order to measure
uncertainties in navigation performance are detailed as
currently this information isn't provided by the manufacturers.
Secondly, standards to determine uncertainties in vehicle
docking by measuring relative displacement from each of the
points are described. Thirdly, standards for obstacle detection
and avoidance are presented to study the reaction of AGV in
different situations such as when a human is detected and
interaction with machines that are operated manually. And
finally, standards for 6DOF optical measurement of dynamic
systems are discussed as these systems are needed for
performing ground truth measurements of AGV performance.
Experiments carried out for vehicle navigation, vehicle
docking and optical measurement systems standards are also
presented.
        </p>
      </sec>
      <sec id="sec-3-18">
        <title>I. Gualzru's path to the Advertisement World</title>
        <p>
          Presented by Fernández et al [
          <xref ref-type="bibr" rid="ref15">15</xref>
          ], in this paper the
authors describes the genesis of Gualzru, a 1.60 m robot with
an external cover built of resin and fiber glass, and a
differential base with two powered wheels and two casters. It
is commissioned by a large Spanish technological company to
provide advertisements in open public spaces. The lessons
learned during the three years of development from different
points of view are explained including hardware, software,
architectural decisions and team collaboration issues.
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>IV. CONCLUSION AND FUTURE WORK With this first edition of the FinE-R (Failure in Real Robots) workshop we pretend to open a door for researchers</title>
      <p>Page 3
to address the analysis and discussion of failures and
methodologies when creating or designing robots. The
workshop allows for sharing research experiences with
scientists facing similar situations and problems. In this paper
we also have provided a summary of the accepted
contributions, in which the authors were asked to describe
their path to success roadmap and to provide clear
explanations of what they learnt while deploying their robotic
projects that could be of interest for other researchers working
in the same area.</p>
      <p>Taking into account the quality of the accepted papers, the
good response from the reviewers, program committee, and
scientific community, as well as the importance that brings
doing a deep analysis not only on the successful results but
also on the path followed to reach them, as future work, we
plan to continue organizing FinE-R in the context of IROS
conferences. Our desire is that by keeping open this forum,
the expertise of worldwide researchers gained along several
years of working on robotic projects can be share with the
scientific community. By doing so, not only better research
projects can be conducted, but specially common or subtle
failures can be avoided. In addition, we plan to open a special
session or discussion panel where people participating on
shared tasks or competitions like the DARPA Robotics
Challenge7, can explaining their experiences and problems
encountered.</p>
    </sec>
    <sec id="sec-5">
      <title>ACKNOWLEDGMENT</title>
      <p>We want to thank to all the members of the program
committee who helped during the review process and during
the organization of the workshop. The full list of contributors
and program committee members can be found at the
workshop website8.</p>
    </sec>
  </body>
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