Integrating Symbolic Discovery with Numerical Machine Learning for Autonomous Swarm Control

Japanese version

Strategic Japanese-French Cooperative Program on Information and Communications Technology Including Computer Sciences

Japan Science and Technology Agency(JST) - Agence nationale de la recherche (ANR)

2008/10/1 - 2012/3/31

Japanese team

Einoshin Suzuki

Leader, Professor

Department of Informatics, ISEE, Kyushu University

Shin Ando

Assistant Professor

Department of Computer Science, Faculty of Engineering, Gunma University

Shigeru Takano

Assistant Professor

Department of Informatics, ISEE, Kyushu University

Nguyen Huy Thach

Doctor course student

Graduate School of Systems Life Sciences, Kyushu University

Asuki Kouno

Doctor course student

Graduate School of Systems Life Sciences, Kyushu University

Theerasak Thanomphongphan

Master course student

Gunma University

Daisuke Hoshino

Master course student

Gunma University

Shouta Nagafuchi

Bachelor course student

Faculty of Engineering, Kyushu University

Kouichiro Nishikawa

Bachelor course student

Faculty of Engineering, Kyushu University

Emi Matsumoto

Bachelor course student

Faculty of Engineering, Kyushu University

French team

Michèle Sebag

Leader, Research Director

TAO project, CNRS

Marc Schoenauer

Research Director

TAO project, INRIA

Nicolas Bredèche

Associate Professor

LRI, University of Paris 11

The objective of the project is to design efficient autonomous controllers for swarm robots, which realize high-level intelligence that none of them can realize individually by gathering to make a group (i.e. swarm) of many robots. Specifically, the project takes advantage of the worldwide expertise of the partners in the complementary domains of symbolic learning, data mining and background knowledge modeling on the Japanese side, and probabilistic learning and stochastic optimization on the French side.

Possible applications include the design of swarm strategies for collective problem resolution (e.g. patrolling in hostile landscapes, rescue and identification of priorities, monitoring natural and artificial environments).

Organized workshop: LEMIR 2009 International Workshop@Slovenia, LEMIR 2011 International Workshop@Canada

Selected outcomes:
1. Einoshin Suzuki, Hiroshi Hirai, Shigeru Takano: "Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network", Advances in Data Management". Springer Studies in Computational Intelligence, Vol. 223, pp. 299-310, Zbigniew W. Ras and Agnieszka Dardzinska (eds.), Springer-Verlag, November 2009.
2. Einoshin Suzuki, Shigeru Takano, Hiroshi Hirai: Toward Using Symbolic Discovery in Designing Controllers of Autonomous Swarm Robots, Proc. First International Workshop on LEarning and data Mining for Robotics (LEMIR), pp. 1-10, September 2009, Bled, Slovenia.
3. Einoshin Suzuki and Michèle Sebag: Preface, Proc. First International Workshop on LEarning and data Mining for Robotics (LEMIR), p. ii, September 2009, Bled, Slovenia.
4. Asuki Kouno, Shigeru Takano, and Einoshin Suzuki: "Constructing Low-cost Swarm Robots that March in Column Formation", Swarm Intelligence (ANTS), LNCS 6234, pp. 556-557, September 2010, Brussels.
5. Swagat Kumar, Nguyen Huy Thach, and Einoshin Suzuki: "Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing their Trajectories", Proc. 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), pp. 56-63, September 2010, Toronto.
6. Shin Ando, Theerasak Thanomphongphan, Daisuke Hoshino, Yoichi Seki, and Einoshin Suzuki: "ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection", Proc. Eleventh SIAM International Conference on Data Mining (SDM), pp. 1-12, Phoenix/Mesa, Arizona, April 2011 (datasets).
7. Hiroshi Hirai, Shigeru Takano, Einoshin Suzuki: Simulating Swarm Robots for a Collision Avoidance Problem based on a Dynamic Bayesian Network, Proc. Tenth European Conference on Artificial Life (ECAL 2009), LNAI 5778, Springer-Verlag, pp.416-423, 2011 (in print).
8. Asuki Kouno, Jean-Marc Montanier, Shigeru Takano, Nicolas Bredeche, Marc Schoenauer, Michele Sebag, and Einoshin Suzuki: "On-board Evolutionary Algorithm and Off-line Rule Discovery for Column Formation in Swarm Robotics", Proc. 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2011), pp. 220-227, Lyon, August 2011.
9. Emi Matsumoto, Michele Sebag, and Einoshin Suzuki: "Avoiding Humans with SVM - a Case of Small Autonomous Mobile Robot in an Office", Proc. 26th International Symposium on Computer and Information Sciences (ISCIS), pp. ?-?, London, September 2011 (accepted for publication).

News

2008/10/1

project launched

2008/11/14

Post-doc position available announcement for the Japanese team (pdf,ps)

2008/11/25

Post-doc position available announcement for the French team

2009/6/8

Calls for a Post-doc position are closed for both Japanese and French teams

2010/6/28

Web page updated

2011/6/2

A movie, several pictures, benchmark data has been posted to the Web site of LEMIR 2011 International Workshop@Canada as benchmark data for ML/DM researchers