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CCRA – IEEE Colombian Conference on Robotics and Automation

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The proceedings of 2016 IEEE Colombian Conference on Robotics and Automation (CCRA 2016) will be published by IEEE and will be available in IEEE Xplore. CCRA 2016 seeks for English written high-quality papers presenting original results in all areas of robotics and automation, also including works in related field such as machine learning, computer vision and control. Spanish written contributions can be submitted but will not be published by IEEE. There will be also a special track for undergraduate student’s projects. Among other, this conference encourages contributions in the following topics:

  • Agricultural robotic systems
  • Unmanned aerial systems
  • Marine robotics
  • Medical robots
  • Swarm robotics
  • Tactile & haptics devices
  • Educational robotics
  • Sensors & actuators
  • Computer vision for robotics
  • Robotic competitions
  • Mechatronics
  • Sensing & sensor fusion
  • Systems and signals
  • Ethical & legal robotic issues
  • Field robotics
  • Multi-agent systems
  • Personal & service robotics
  • Human machine interaction
  • Control architectures
  • Biomimetic robots
  • Locomotion
  • Localization, mapping and navigation
  • Applied control for robots
  • Flexible manufacturing systems
  • Path and motion planning
  • Distributed & networked systems
  • Decision support systems
  • Intelligent control
  • Systems Identification
  • Process automation

Important Dates

Paper submission deadline: July 29th 2016.
Notifications: August 31th 2016.
Camera ready version submission deadline: September 7th 2016.
Paper submission deadline (extended): August 7th 2016


call
The full call for papers can be found in:


submission
The proceedings of CCRA 2016 will be published by IEEE and will be available in IEEE Xplore©. CCRA 2016 seeks for English written high-quality papers presenting original results in all areas of robotics and automation, also including works in related field such as machine learning, computer vision and control. Spanish written contributions can be submitted but will not be published by IEEE. There will be also a special track for undergraduate student’s projects.The articles must be submitted in digital format (PDF) through the paper submission page (https://cmt3.research.microsoft.com/CCRA2016) and must use the IEEE conference format. The maximum length is six (6) pages per article including illustrations and references.Accepted papers will be presented in interactive sessions, having brief spotlight oral presentations preceding the interactive portion of the session. The possibility of showing “hands-on” demos of small-scale robotic devices is foreseen and actually encouraged.PLEASE NOTE: To be published in the IEEE CCRA 2016 Conference Proceedings and IEEE Xplore®, an author of an accepted paper is required to register for the conference at IEEE member or not Member rate and must present the paper at the conference. Student registration is only valid for the undergraduate student’s projects track. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one registration is valid for up to 2 papers. Accepted papers will be published in the IEEE CCRA 2016 Conference Proceedings. Accepted and presented papers will be published in the IEEE CCRA 2016 Conference Proceedings and submitted to IEEE Xplore®.IMPORTANT IEEE POLICY ANNOUNCEMENT:

The IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore®) if the paper is not presented at the conference. Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and IEEE will take action against any author who has engaged in either practice.
IEEE Web Page on Plagiarism
IEEE Web Page on Double Submission.

o Benefits of Publishing with IEEE


Schedule
schedule_cronograma


Keynote Speakers
Davide_ScaramuzzaDavide Scaramuzza
University of Zurich, SwitzerlandDavide Scaramuzza (1980, Italian) is Professor of Robotics at the University of Zurich, where he does research at the intersection of robotics, computer vision, and neuroscience. He did his PhD in robotics and computer Vision at ETH Zurich and a postdoc at the University of Pennsylvania. From 2009 to 2012, he led the European project “sFly”, which introduced the world’s first autonomous navigation of micro drones in GPS-denied environments using vision as the main sensor modality. For his research contributions, he was awarded the IEEE Robotics and Automation Early Career Award, a Google Faculty Research Award and SNSF-ERC Starting Grant. He coauthored the book “Introduction to Autonomous Mobile Robots” (published by MIT Press) and more than 80 papers on robotics and perception. In 2015, he co-founded a startup dedicated to the commercialization of visual-inertial navigation solutions for mobile robots.


Towards Agile Flight of Vision-controlled Micro Flying Robots: from Active Perception to Event-based Vision

Autonomous quadrotors will soon play a major role in search-and-rescue and remote-inspection missions, where a fast response is crucial. Quadrotors have the potential to navigate quickly through unstructured environments, enter and exit buildings through narrow gaps, and fly through collapsed buildings. However, their speed and maneuverability are still far from those of birds. Indeed, agile navigation through unknown, indoor environments poses a number of challenges for robotics research in terms of perception, state estimation, planning, and control. In this talk, I will give an overview of my research activities on visual inertial navigation and active perception with quadrotors, from slow navigation (using standard frame-based cameras) to agile flight (using event-based cameras).


CarlosSantacruzCarlos Santacruz-Rosero, Ph.D.
MathWorks, USA

Carlos is a Senior Application Engineer at MathWorks with more than 10 years of experience developing software for advanced robotics systems such as manipulators, full-sized humanoid robots, and autonomous navigation robots. Carlos is an expert at applying MATLAB and Simulink to the design of complex robotics systems. He works with MathWorks customers in the industrial automation, automotive, aerospace, and robotics industries. Carlos has presented in conferences in America, Europe, and Asia on advanced robotics design with MathWorks toolchain. Carlos holds a Ph.D. in Robotics from the University of Tokyo.


Advanced Robotics Design: Simulation, Prototyping, and Production

Engineers working on complex robotics applications need to answer three critical questions:

        1. How do I design and simulate a robot?
        2. How do I prototype and test algorithms for my robot?
      3. How can I create production quality software for my robot?

In this talk Carlos will answer these questions, and will show how roboticists can accelerate and streamline the design, prototyping, and verification of advanced robotics systems. MATLAB, Simulink, and Model-based Design are the industry standard for designing embedded systems in the automotive and aerospace industries. Carlos will present how Model-Based Design can be leveraged for the development of advanced robotics applications.


LinaPazLina María Paz
University of Oxford, UK

Lina received her DPhil in 2008 with the Robots, Perception, and Real Time Group at the University of Zaragoza, Spain. Previously, she studied at the Universidad del Valle, Colombia where she obtained her bachelor’s degree in Electronic Engineering. Among others, her research topics include sub-mapping estimation techniques for large scale Simultaneous Localisation and Mapping, data association and 3D dense reconstruction. In 2009, she was awarded the best Spanish PhD thesis on Robotics. She has been research visitor at the Royal Institute of Technology (KTH, Stockholm), the Australian Center for Field Robotics (ACFR, Sydney), the Lund University (LTH) and the Technical University of Munich (TUM). In November 2013 she joined the Mobile Robotics Group of Oxford as Postdoctoral Research Assistant. Currently, she is Lecturer at the Department of Engineering Science and Senior Researcher at MRG Oxford.


Large Scale 3D Dense Reconstruction for Mobile Robotics
Efficient generation of dense, colored models of very-large-scale environments from stereo cameras, laser data, or a combination thereof is still crucial task for mobile robot applications. The generation of better maps leads to better understanding; better understanding leads to better robots, but this comes at a cost. The computational and memory requirements of large dense models can be prohibitive. Over the past few years, the development of 3D reconstruction systems has undergone an explosion facilitated by the advances in GPU hardware. The theoretical foundations of continuous optimization, upon which the most advanced algorithms rely, have become accessible for robotics and computer vision applications. Together these strands – hardware and theory – allow us to build systems that create large-scale 3D dense reconstructions.
However, many dense 3D reconstruction systems rarely consider scalability for the practical use in mapping applications such as autonomous driving or inspection. In this talk I will review the main characteristics of an efficient dense mapping system meeting the following requirements for mobile navigation:
– Operate in multiple-kilometers-scale environments
– No range limitations for input sensor observations
– Cope with insufficient number of surface observations
– Allows data fusion from multiple sensor modalities“

timoTimo Oksanen
Aalto University, Finland

Dr. Timo Oksanen received the M.Sc. (tech) degree from the Automation and Systems Department at Helsinki University of Technology in 2002. Since 2003, he has studied various aspects in the domain of automation in agriculture. His Ph.D. dissertation presented two new coverage path planning algorithms for agricultural field machines. Besides algorithm development interest, he has twelve years of experience developing ISO 11783-compatible prototypes and he has participated on the standard development as well. In the autonomous tractor project, he developed navigation and guidance system for a four wheel steered tractor, including coverage and task planning for four implements. The tractor has carried out real work worth of 25 hectares so far. His research projects combine knowledge of automation, electronics, ICT and robotics to agricultural engineering and vice versa. His scope of research is in intelligent agricultural machines, the full stack. Currently, Dr. Oksanen holds Title of Docent both in agricultural engineering and in automation of working machines.


Robotics in agriculture – autonomous unmanned operations or semiautonomous fleets

Robots can do various tasks in agricultural domain. Milking cows, picking fruits, pruning trees, controlling weeds, planting or fertilizing are just a few examples of robot applications. However, orchards, greenhouses, dairy production and arable farming require slightly different kinds of robotics to replace human effort. Some of the applications require robotic arms, specific end-effectors and sophisticated manipulation while the others rely on autonomous vehicles working in open unfenced fields. This presentation concentrates on field robotics research relevant to arable farming and special crop production in open fields. The presentation discusses the autonomous tractor project developed by the author; as well as other application examples related to modern agricultural engineering involving autonomous operations.


pablo_arbelaezPablo Arbelaez
Universidad de los Andes, Colombia

Pablo Arbeláez realizó un pregrado en Matemáticas en la Universidad de los Andes y una Maestría en Matemáticas Aplicadas a la Ingeniería en la Universidad Paris-Dauphine. En 2005, se graduó con honores del Doctorado en Matemáticas Aplicadas de la Universidad Paris-Dauphine con especialización en análisis de imágenes. Entre 2007 y 2014, fue investigador permanente en el Grupo de Visión Artificial de la Universidad de California en Berkeley. Desde el 2014, Pablo Arbeláez es profesor de planta del Departamento de Ingeniería Biomédica de la Universidad de los Andes, donde lidera las líneas de decencia e investigación en visión artificial y análisis de imágenes biomédicas. En 2015, por su trabajo en inteligencia artificial, fue el único investigador colombiano seleccionado entre los ganadores del Premio de Investigación de Google para América Latina.


Fronteras de la visión artificial.
En esta charla, se discutirá la exploración de las fronteras del conocimiento en visión artificial a partir de las interacciones entre sus tres áreas fundamentales, o las 3Rs de Malik: la organización perceptual (o re-organización), el reconocimiento y la reconstrucción. En particular, se presentarán enfoques del estado del arte basados en técnicas de deep learning, los cuales permiten estudiar distintos aspectos de dichas interacciones.


Technical Sessions
Download PDF


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Committees
General Chair
Carlos Alberto Parra Rodriguez. Ph.D.
Pontificia Universidad JaverianaFinancial Chair
Carlos Agualimpia Arriaga. M.Sc.
Universidad Sergio Arboleda
Program Chair
Henry Carrillo. Ph.D.
Universidad Sergio ArboledaLocal Arrangements Chair
Lorena Garcia. M.Sc.
Universidad Sergio Arboleda

Program committee
José Luis Villa. Ph.D.
Universidad Tecnológica de Bolívar

Carlos Francisco Rodriguez Herrera. Ph.D.
Universidad de los Andes

Julián Colorado. Ph.D.
Pontificia Universidad Javeriana

Andrés Jaramillo Botero. Ph.D.
California Institute of Technology, USA.

Oscar Andrés Vivas Albán. Ph.D.
Universidad del Cauca

Flavio Augusto Prieto Ortiz. Ph.D.
Universidad Nacional de Colombia

Fernando De la Rosa. Ph.D.
Universidad de los Andes

Enrique Gonzalez Guerrero. Ph.D.
Pontificia Universidad Javeriana

Mario Ricardo Arbulu Saavedra. Ph.D.
Universidad de la Sabana

Nicanor Quijano Silva. Ph.D.
Universidad de los Andes

Ronald Gutiérrez. Ph.D.
Universidad de la Sabana

Mario A. Góngora. Ph.D.
De Montfort University

Claudia Isaza. Ph.D.
Universidad de Antioquia

Iván Darío Estévez Reyes. M.Sc.
Universitaria de Investigación y Desarrollo

Carol Martínez. Ph.D.
Pontificia Universidad Javeriana

Ricardo Andrés Castillo Estepa. Ph.D.
Universidad Militar Nueva Granda

Carlos Quintero. M.Sc.
Universidad Santo Tomas

Leonardo Solaque. Ph.D.
Universidad Militar Nueva Granda

Jorge Finke. Ph.D.
Pontificia Universidad Javeriana – Cali

Luis Eduardo Rodríguez Cheu. Ph.D.
Escuela Colombiana de Ingeniería

Alexandra Velasco, Ph.D.
Universidad Militar Nueva Granda

Bladimir Bacca Cortes. Ph.D.
Universidad del Valle

Tatiana Manrique. Ph.D.
Universidad Sergio Arboleda

Cesar Darío Cadena Lerma, Ph.D.
ETH Zurich, Switzerland

Nelson David Muñoz Ceballos. M.Sc.
Politécnico Colombiano Jaime Isaza Cadavid

Iván Mondragón. Ph.D.
Pontificia Universidad Javeriana

Christian Quintero. Ph.D.
Universidad del Norte

Alberto Delgado. Ph.D.
Universidad Nacional de Colombia

Jovani Alberto Jiménez Builes. Ph.D.
Universidad Nacional de Colombia – Medellín

Heyson Báez. M.Sc.
Universidad Santo Tomas

Juan Manuel Chaparro Fonseca. M.Sc.
Universidad Central

Olmer Garcia Bedoya. Ph.D.
Universidad Jorge Tadeo Lozano

Edith Pulido Herrera. Ph.D.
Universidad Industrial de Santander

Juan Bernardo Gómez Mendoza. Ph.D.
Universidad Nacional de Colombia – Manizales


Registration

Category Advance Rate (Expires Sep 16th) On-Site Conference Rate (After Sep 16th)
R1: IEEE Student members or Universidad Sergio Arboleda students $120.000 $150.000
R2: Other students $160.000 $200.000
R3: IEEE members $240.000 $300.000
R4: Others $320.000 $400.000
R5: Robotics Competition Team Members $20.000 $20.000

All prices in COP

Registration includes access to all sessions, welcome reception and coffee breaks.

To be published in the IEEE CCRA 2016 Conference Proceedings and to be eligible for publication in IEEE Xplore, an author of an accepted paper is required to register for the conference at the (R3 IEEE MEMBERS or R4 OTHERS) rate. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one R3 or R4 registration is valid for up to 2 papers.


Robotics Competitions

Dear community,
The Robotics competitions have been canceled given that as today, we have not received any registration for them.

We encourage the community to participate in this type of events as the rise awareness of engineering in general and robotics in particular.

Regards,
IEEE CCRA 2016


Open Category
The CCRA2016 will host the Colombian classificatory for the IEEE Latin American Robotic Competition (LARC2016). The LARC2016 Open category aims at solving an important social problem using robots. The robots can contain any hand-made or commercial part.This year the Open category requires the design of a “milker robot” in order to boost the production of milk in a farmRules
The rules for the Open category can be found in:
http://ewh.ieee.org/reg/9/robotica/Reglas/IEEE%20Open%202016-2017%20-%20English%20-%20Version%201.2.pdfThe rules of the Colombian classificatory for the IEEE Latin American Robotic Competition (LARC2016) are the same for the LARC2016.Prizes

More information will be available soon.

Rules

More information will be available soon.


SEK Category
The CCRA2016 will host the Colombian classificatory for the IEEE Latin American Robotic Competition (LARC2016). The LARC2016 Standard Educational Kit (SEK) category aims at solving an important social problem using robots. The robots can only contain parts of a SEK from recognized companies.
This year the SEK category requires the design of a robotic system that can rescue intelligent life from climate catastrophe.
RulesThe rules for the SEK category can be found in:
http://ewh.ieee.org/reg/9/robotica/Reglas/SEK_Rules_2015-2016_v22.pdfThe rules of the Colombian classificatory for the IEEE Latin American Robotic Competition (LARC2016) are the same for the LARC2016.PrizesMore information will be available soon.

Rules

More information will be available soon.


Robotic Line Followers
More information will be available soon.
• Rules
• Prizes
• Registration

Robotic Sumo
More information will be available soon.
• Rules
• Prizes
• Registration

Robotic Demonstrations
More information will be available soon.
• Rules
• Prizes
• Registration

Venue
The 2016 IEEE Colombian Conference on Robotics and Automation (CCRA 2016) will be held in Bogotá, Colombia, between September 29-30 2016. The venue for CCRA 2016 is the Universidad Sergio Arboleda.More information about the venue will be available soon.• How to get to Bogotá?
• How to get to the Universidad Sergio Arboleda?
• Layouts of CCRA2016 spaces.
• Nearby hotels.
• Nearby restaurants.
• Tourist information about Bogotá.

Contact
Local Arrangements Committee

Lorena Garcia.
Universidad Sergio Arboleda
Tel: +57 1 3257500 Ext. 2575

Carlos Agualimpia.
Universidad Sergio Arboleda
Tel: +57 1 3257500 Ext. 2270

Henry Carrillo.
Universidad Sergio Arboleda
Tel: +57 1 3257500 Ext. 2574
e-mail: ccra2016@usa.edu.co


Noticias


En la Sergio

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