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https://ceur-ws.org/Vol-2312/CRoNe2018_Preface.pdf
Preface
CRoNe, the Congress on Robotics and Neuroscience, is an encounter
that acts not only as a bridge but also as a fruitful land for collabora-
tion and discussion concerning recent advances in the frontiers of ar-
tificial intelligence, robotics and neuroscience, fostering the exchange
of ideas among different, and often fairly separated, scientific fields.
The congress, part of the Latin American Robotics Week1 , organized 1
Further details in
http://www.roboticsweekla.com.
by Innovación y Robótica Estudiantil UTFSM 2 , is a meeting point for 2
a multidisciplinary group of both,
people from engineering, human and biological sciences promoting undergraduate and graduate students,
the development and understanding of complex intelligent systems. focused on R&D with emphasis on
robotics. More information in
At its 4th version, the Congress on Robotics and Neuroscience was
http://innovacionyrobotica.usm.cl.
focused on four different areas:
- Development of meaning: with approaches from Developmental
Robotics, Machine Learning, and Brain-based theories.
- Predictive coding for cognitive development: introducing analyses
from Neuroscience, Computational Neuroscience, and AI.
- Multimodal cognition: under neuroscientific and psychological
scopes.
- Experimental analyses and methodologies: presenting novel
methodologies for closed-loop brain training, brain functional
connectivity analyses and Machine Learning applications.
On this opportunity, we had the pleasure to count with ten keynote
speakers who presented state-of-the-art results encouraging discus-
sions in relation to one or more of these areas. Three workshops in-
troducing scientific tools and methodologies completed the program,
spreading knowledge and access to processing and developmental
environments on Interactive Reinforcement Learning and data analy-
sis in Electroencephalogram signals.
The accepted works presented during the conference, collected
in this volume, tackles a wide variaty of problems comming from
areas as robotics, education or data analytics. Along the different
proposed analyses, while some approaches are based on a single
domain, discussions as the ones in Torres (2018) are crossed among
areas. Torres (2018) evaluates different strategies for finding trending
topics on a set of scientific articles, through a discussion arround the
6
recent approaches aiming to describe the brain processes of memory.
Following context characteristics, Ollino et al. (2018) propose a
single-agent approach to tackle a multi-agent problem using batch
reinforcement learning for developing defensive strategies in a
RoboCup SSL (Small Size League) robotic team. The proposed imple-
mentation takes advantage of the framework of the team controller,
which usually has a team-level decision-maker. The controller learns
and executes different responses detailing the action for each agent,
from a pre-defined set of actions, following a single team goal to min-
imize the score of an enemy team. In this same scenario, the already
competing team shown in Aubel et al. (2018), presents an in-depth
description about design and implementation tasks for different areas
tackled in a real SSL team (with physical prototypes), with chal-
lenges ranging from structural issues to field strategy problems. In
another real world scenario, Silva et al. (2018) describes CRABOT, a
six-legged robotic platform for autonomous field recognition and ob-
ject manipulation. CRABOT was developed under a leg-arm hybrid
design: similar to a crab, it can stand on four of its legs leaving two
completely free for object interaction, being able to deploy different
tools attached to each limb.
Regarding to educational approaches, work in Vallejo-Jiménez
et al. (2018) describes some experiences from environments de-
fined as technological academies for STEM (Science-Technology-
Engineering-Math) learning scenarios, for primary and secondary
level school students in courses such as Mathematics, Physics or ap-
plied sciences such as Robotics or Virtual Technologies. In a more
theoretical approach, work in Angel and Nettle (2018) presents a
review over the last decades of educative methodologies, identify-
ing keys for the development of competences and the acquisition
of meaningful learning. The proposal from Angel and Nettle (2018)
conclude with a procedural model for educational scenarios, which
incorporates metacognitive practices for achieving student’s aware-
ness of what is learnt and how and when to apply it.
7
References
Angel C, Nettle CJ. A Theoretical Strategy for Enhancing Learning
Through Metacognitive Practices on a Constructivist Methodology.
In: Nettle CJ, Solis MA, editors. Proceedings of the 4th Congress on
Robotics and Neuroscience, 2018 No. 2312 in CEUR Workshop Pro-
ceedings, Aachen; 2018. p. 32–38. http://ceur-ws.org/Vol-2312/
#paper4.
Aubel M, Alfaro R, Yañez P, Reyes P, Rodenas T, Hernández N, Pinto
F, Kim SH, Barrera T, Torres D, Vicencio I, Alvarez J, Osorio F,
Castillo S. AIS: Artificial Intelligent Soccer. In: Nettle CJ, Solis MA,
editors. Proceedings of the 4th Congress on Robotics and Neuroscience,
2018 No. 2312 in CEUR Workshop Proceedings, Aachen; 2018. p.
25–31. http://ceur-ws.org/Vol-2312/#paper3.
Nettle CJ, Solis MA, editors. Proceedings of the 4th Congress on
Robotics and Neuroscience (CRoNe2018) No. 2312 in CEUR Work-
shop Proceedings, Aachen; 2018, http://ceur-ws.org/Vol-2312/.
Ollino F, Solis MA, Allende H. Batch Reinforcement Learning on
a RoboCup SSL keepaway strategy learning problem. In: Nettle
CJ, Solis MA, editors. Proceedings of the 4th Congress on Robotics
and Neuroscience, 2018 No. 2312 in CEUR Workshop Proceedings,
Aachen; 2018. p. 11–17. http://ceur-ws.org/Vol-2312/#paper1.
Silva OA, Sigel P, Eaton W, Osorio C, Valdivia E, Frois N, Vera F.
CRABOT: A six-legged platform for environmental exploration and
object manipulation. In: Nettle CJ, Solis MA, editors. Proceedings
of the 4th Congress on Robotics and Neuroscience, 2018 No. 2312 in
CEUR Workshop Proceedings, Aachen; 2018. p. 46–51. http:
//ceur-ws.org/Vol-2312/#paper6.
Torres F. Trending Topics on Science, a tensor memory hy-
pothesis approach. In: Nettle CJ, Solis MA, editors. Proceed-
ings of the 4th Congress on Robotics and Neuroscience, 2018 No.
2312 in CEUR Workshop Proceedings, Aachen; 2018. p. 18–24.
http://ceur-ws.org/Vol-2312/#paper2.
Vallejo-Jiménez MM, Martínez-Puerta JJ, Bedoya-Agudelo S,
Salgado-Giraldo ND. SENA Tecnoacademia Risaralda and Caldas
as a collaborative learning scenario in Robotics. In: Nettle CJ, Solis
MA, editors. Proceedings of the 4th Congress on Robotics and Neuro-
science, 2018 No. 2312 in CEUR Workshop Proceedings, Aachen;
2018. p. 39–45. http://ceur-ws.org/Vol-2312/#paper5.
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