AegeanNetCom 2017 - 1st International Symposium on Multi-Robot and Multi-Agent Systems
Topics/Call fo Papers
The 1st International Symposium on Multi-Robot and Multi-Agent Systems
December 4-5, 2017
Los Angeles, CA, USA
http://multirobotsystems.org/mrs2017
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The International Symposium on Multi-Robot and Multi-Agent Systems is an initiative of the IEEE RAS Technical Committee on Multi-Robot Systems, and is technically co-sponsored by IEEE. The goal is to convene researchers in multi-robot systems (MRS) and multi-agent systems (MAS) to cross-fertilize ideas in a single-track conference. The intent of the conference is to bring MRS and MAS researchers together with a high-quality symposium to highlight the top advances in multi-robot and multi-agent research.
Final Submission Deadline: June 24 *Updated and firm*
Acceptance Notification: September 2
Topics of interest include:
- Modeling and Control of MRS/MAS
- Optimal Control and Optimization Methods for MRS/MAS
- Bio-Inspired MRS and Swarm Intelligence/Robotics
- Distributed Perception and Estimation in MRS/MAS
- Planning and Decision Making for MRS/MAS
- Physical Interaction in/with MRS/MAS
- Cooperative/Collective Learning in MRS/MAS
- AI of Large Scale Systems
- Applications of MRS
- Technological and Methodological Issues
- MRS for Cooperative Manipulation
- Micro/Nano Scale MRS
- Operating Systems and Cloud Technology for MRS
- Communication in MRS/MAS
- Performance Evaluation and Benchmarking in MRS/MAS
- Human-robot and Human-agent interaction
- Game theoretic approaches for MAS/MRS
- Teamwork, team formation, teamwork analysis
All accepted papers will be presented within technical sessions. The program will include inspiring keynote talks, tutorials, and a student poster session, in addition to social events to promote networking among peers.
AUTHOR INFORMATION
Contributed papers should describe high-quality, original work, and should be no more than 6 pages in length (not including references). Selected contributions will be invited to submit an extended version to a special journal issue following the conference.
Prospective authors are invited to view formatting details and to contribute their original papers through the online submission page available from http://multirobotsystems.org/mrs2017
KEYNOTE SPEAKERS
Sonia Martínez (UC San Diego)
Ayanna Howard (Georgia Tech)
CONFERENCE CHAIRS
Gaurav S. Sukhatme (University of Southern California, USA)
Nora Ayanian (University of Southern California, USA)
ADVISORY BOARD
Magnus Egerstedt (Georgia Tech, USA)
David Hsu (National University of Singapore)
Vijay Kumar (University of Pennsylvania, USA)
Alcherio Martinoli (EPFL, Switzerland)
Lynne E. Parker (University of Tennessee Knoxville, USA)
Daniela Rus (Massachusetts Institute of Technology, USA)
ORGANIZING COMMITTEE
Chris Amato (Northeastern University, USA)
M. Ani Hsieh (University of Pennsylvania, USA)
Lorenzo Sabattini (University of Modena and Reggio Emilia, Italy)
Antonio Franchi (LAAS-CNRS, France)
Robert Fitch (University of Technology Sydney, Australia)
Paolo Robuffo Giordano (IRISA-CNRS, France)
Dylan A. Shell (Texas A&M University, USA)
December 4-5, 2017
Los Angeles, CA, USA
http://multirobotsystems.org/mrs2017
>< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< >< ><
The International Symposium on Multi-Robot and Multi-Agent Systems is an initiative of the IEEE RAS Technical Committee on Multi-Robot Systems, and is technically co-sponsored by IEEE. The goal is to convene researchers in multi-robot systems (MRS) and multi-agent systems (MAS) to cross-fertilize ideas in a single-track conference. The intent of the conference is to bring MRS and MAS researchers together with a high-quality symposium to highlight the top advances in multi-robot and multi-agent research.
Final Submission Deadline: June 24 *Updated and firm*
Acceptance Notification: September 2
Topics of interest include:
- Modeling and Control of MRS/MAS
- Optimal Control and Optimization Methods for MRS/MAS
- Bio-Inspired MRS and Swarm Intelligence/Robotics
- Distributed Perception and Estimation in MRS/MAS
- Planning and Decision Making for MRS/MAS
- Physical Interaction in/with MRS/MAS
- Cooperative/Collective Learning in MRS/MAS
- AI of Large Scale Systems
- Applications of MRS
- Technological and Methodological Issues
- MRS for Cooperative Manipulation
- Micro/Nano Scale MRS
- Operating Systems and Cloud Technology for MRS
- Communication in MRS/MAS
- Performance Evaluation and Benchmarking in MRS/MAS
- Human-robot and Human-agent interaction
- Game theoretic approaches for MAS/MRS
- Teamwork, team formation, teamwork analysis
All accepted papers will be presented within technical sessions. The program will include inspiring keynote talks, tutorials, and a student poster session, in addition to social events to promote networking among peers.
AUTHOR INFORMATION
Contributed papers should describe high-quality, original work, and should be no more than 6 pages in length (not including references). Selected contributions will be invited to submit an extended version to a special journal issue following the conference.
Prospective authors are invited to view formatting details and to contribute their original papers through the online submission page available from http://multirobotsystems.org/mrs2017
KEYNOTE SPEAKERS
Sonia Martínez (UC San Diego)
Ayanna Howard (Georgia Tech)
CONFERENCE CHAIRS
Gaurav S. Sukhatme (University of Southern California, USA)
Nora Ayanian (University of Southern California, USA)
ADVISORY BOARD
Magnus Egerstedt (Georgia Tech, USA)
David Hsu (National University of Singapore)
Vijay Kumar (University of Pennsylvania, USA)
Alcherio Martinoli (EPFL, Switzerland)
Lynne E. Parker (University of Tennessee Knoxville, USA)
Daniela Rus (Massachusetts Institute of Technology, USA)
ORGANIZING COMMITTEE
Chris Amato (Northeastern University, USA)
M. Ani Hsieh (University of Pennsylvania, USA)
Lorenzo Sabattini (University of Modena and Reggio Emilia, Italy)
Antonio Franchi (LAAS-CNRS, France)
Robert Fitch (University of Technology Sydney, Australia)
Paolo Robuffo Giordano (IRISA-CNRS, France)
Dylan A. Shell (Texas A&M University, USA)
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Last modified: 2017-06-25 00:11:07