IEEE Latin American Robotics Symposium (LARS 2021) and Brazilian Symposium of Robotics (SBR 2021)
Natal -Brazil
October 11th to 15th, 2021 (Virtual conference)
http://www.natalnet.br/lars-sbr2021/


1. INTRODUCTION

The IEEE LARS and SBR (Latin American Robotics Symposium/Brazilian Robotics Symposium) aim at promoting a comprehensive scientific meeting in the area of Intelligent Robotics, bringing together researchers, undergraduate and graduate students of Computer Science, Electrical Engineering, Mechatronics Engineering, Computer Engineering, and related fields.

The event will happen through technical sessions on the web, including oral (or video) presentations of full papers and webinars featuring technical lectures of recognized importance in the area (to be defined).

The LARS/SBR and its associated scientific events are the primary scientific/academic meetings of a larger event that brings relevant robotics developments, named ROBÓTICA 2021. That also comprises the LARC/CBR (Latin American Robotics Competition / Brazilian Robotics Competition), OBR (Brazilian Robotics Olympiad), MNR (National Robotics Fair), besides the LARS/SBR, WRE (Workshop of Robotics in Education), and WTDR / CTDR (Workshop on MSc Dissertation and Ph.D. Thesis in Robotics and Best MSc Dissertation and Ph.D. Thesis Contest in Robotics ).


2. KEYNOTE SPEAKERS

Prof. Dr. Carme Torras Genís
Carme Torras is Research Professor at the Spanish Scientific Research Council (CSIC). She received M.Sc. degrees in Mathematics and Computer Science from the Universitat de Barcelona and the University of Massachusetts, respectively, and a Ph.D. degree in Computer Science from the Technical University of Catalonia (UPC). She is IEEE Fellow, EurAI Fellow, member of Academia Europaea, member of the Reial Acadèmia de Ciències i Arts de Barcelona, and she was Editor of the IEEE Trans. on Robotics.
http://www.iri.upc.edu/people/torras

Prof. Dr. Flavio Tonidandel
Associate Professor at the Department of Computer Science, Centro Universitario FEI (FEI-SP), Sao Paulo, Brazil. In 1996, I received my B.Sc. degree in Electronic Engineering from Universidade Federal de Uberlândia, Brazil. I obtained my M.Sc. degree in Electrical Engineering from POLI-USP in 1997 and finally my Ph.D. degree in Electrical Engineer at the same university (USP) in January 2003 in the Artificial Intelligence area. His areas of interest lie in the Intelligent Robotics field and he coordinates the group of Robotics at FEI, ROBOFEI.
https://fei.edu.br/~flaviot/

Prof. Dr.-Ing. Rüdiger Dillmann
Rüdiger Dillmann received his Ph. D. from University of Karlsruhe in 1980.
Since 1987 he has been Professor of the Department of Computer Science and is Director of the Research Lab. Humanoids and Intelligence Systems at KIT. 2002 he became director of an innovation lab. at the Research Center for Information Science (FZI), Karlsruhe. 2009 he founded the Institute of Anthropomatics and Robotics at the Karlsruhe Institute of Technology.
His research interest is in the areas of human-robot interaction, neurorobotics with special emphasis on intelligent, autonomous and interactive robot behaviour generated with the help of machine learning methods and programming by demonstration (PbD). Other research interests include machine vision for mobile systems, man-machine cooperation, computer supported intervention in surgery and related simulation techniques.
He is author/co-author of more than 1000 scientific publications, conference papers, several books and book contributions.
He was Coordinator of the German Collaborative Research Center ”Humanoid Robots”, SFB 588 and several European IPs. He is Editor of the journal ”Robotics and Autonomous Systems”, Elsevier, and Editor in Chief
of the book series COSMOS, Springer. He is IEEE Fellow and IROS Fellow.
https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/ruediger-dillmann/

Prof. Dr. Wolfram Burgard
Wolfram Burgard is a professor for computer science at the University of Freiburg, Germany where he heads the Laboratory for Autonomous Intelligent Systems. He studied Computer Science at the University of Dortmund and received his Ph.D. degree in computer science from the University of Bonn in 1991. His areas of interest lie in artificial intelligence and mobile robots. In the past, Wolfram Burgard and his group developed several innovative probabilistic techniques for robot navigation and control. They cover different aspects including localization, map-building, path planning, and exploration. He received the prestigious Gottfried Wilhelm Leibniz-Preis in 2009 and an advanced ERC grant in 2010. He is an AAAI and ECCAI fellow.
http://www2.informatik.uni-freiburg.de/~burgard/


3. PROCEEDINGS

Accepted papers will be available at IEEE Xplore.
A selected number of outstanding papers will be invited to submit extended versions to a Special Issue of JINT (Journal of Intelligent & Robotics Systems), Impact factor 2.259.


4. TOPICS OF INTEREST

Vision in robotics and automation;
Symbol mediated robot behavior control;
Sensory mediated robot behavior control;
Active sensory processing and control;
Industrial applications of autonomous systems;
Sensor modeling and data interpretation e.g. models and software for sensor data integration, 3D scene analysis, environment description and modeling, pattern recognition;
Robust techniques in AI and sensing e.g. uncertainty modeling, graceful degradation of systems;
Robot programming e.g. on-line and off-line programming, discrete event dynamical systems, fuzzy logic;
Multi-Robot and Multi-Agents, Cooperation and Collaboration;
CAD-based robotics e.g. CAD-based vision, reverse engineering;
Robot simulation and visualization tools;
Tele-operated and autonomous systems;
Microelectromechanical robots;
Robot modeling;
Robot control architectures;
Robot planning, reasoning, communication, adaptation, and learning;
Robotic Manipulators;
Robot soccer;
Evolutionary robotics;
Bio-Inspired robotics;
Robots for robotic surgery and rehabilitation;
Micro/nano-robotics, new Devices, and materials for robots;
Human-Robot Interaction and Interfaces;
Robotics and Education;
Sensor Networks, architectures of embedded Hardware and software;
Self-Localization, Mapping and Navigation;
Multi-robot systems;
Aerial vehicles;
Autonomous vehicles;
Mobile robot platforms;
Service robots and entertainment robots;
Underwater robots;
Humanoids.


5. IMPORTANT DATES

- Manuscript submission deadline August 2nd, 2021
- Notification of Acceptance September 6th, 2021
- Camera Ready Submission September 13th, 2021
- Conference date October 11th to 15th, 2021


Submission details: http://www.natalnet.br/lars-sbr2021/