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 Embedded Systems and Robotics Laboratory

 

 

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   Self-Organizing Morphogenetic Robotics 

  1. H. Guo, Y. Meng, and Y. Jin, Distributed Multi-Q Learning for a Self-Organizing Traffic Control System. ACM Trans. on Autonomous and Adaptive Systems. (Submitted)
     

  2. H. Guo, Y. Meng, and Y. Jin, A Multi-Cellular Self-Organization Algorithm for Swarm Robotic Systems using Local Relative Information, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). (Submitted)
     

  3. Y. Meng, Y. Zhang, and Y. Jin,   A Morphogenetic Approach to Self-Reconfigurable Modular Robots, 12th International Conference on the Synthesis and Simulation of Living Systems (ALIFE XII). (Submitted)
     

  4. H. Guo, Y. Jin, and Y. Meng, A Uniform Framework for Self-organized Multi-Robot Pattern Formation and Boundary Coverage Inspired from Morphogenesis. ACM Trans. on Autonomous and Adaptive Systems. (Submitted)

  5. Y. Jin and Y. Meng,  Emergence of Robust Regulatory Motifs from in silico Evolution of Sustained Oscillation, BioSystems.  (Submitted)

  6. Y. Meng, H. Guo, and Y. Jin, A Gene Regulation Network Model for Flexible and Robust Formation of Swarm Robots. Autonomous Robots. (Submitted)

  7. Y. Jin and Y. Meng, Morphogenetic Robotics: An Emerging New Field in Developmental Robotics, IEEE Trans. on Systems, Man, and Cybernetics, Part C. (Under revision)

  8. Y. Meng, Y. Zhang, and Y. Jin, Autonomous Self-Reconfiguration of Modular Robots using a Hierarchical Mechanochemical Model, IEEE Computational Intelligence Magazine. (To appear)

  9. H. Guo, Y. Meng and Y. Jin, Analysis of Local Communication Load in Shape Formation of a Distributed Morphogenetic Swarm Robotic System. 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), 2010 IEEE Congress on Evolutionary Computation (CEC 2010). (Accepted)

  10. Y. Meng, Y. Zhang, and Y. Jin, Self-Reconfigurable Robots using a Hybrid Hierarchical Gene Regulatory Network, in Bio-Inspired Self-Organizing Multi-Agent Systems, Studies on Complexity Intelligence Book Series, Springer-Verla. (To appear).
     

  11. Jin and Y. Meng, Morphogenetic robotics: A new paradigm for designing self-organizing, self-reconfigurable and self-adaptive robots, in Morphogenetic Engineering: Toward Programmable Complex Systems, R. Eoursat, H. Sayama, and O. Michel (Eds.), Studies on Complexity Book Series, Springer-Verla, 2010.
     

  12. Y. Meng, H. Guo, and Y. Jin,  A Multi-Cellular based Self-Organizing Approach for Multi-Robot Systems, in Exploring New Horizons of Evolutionary Design of Robots,  Studies in Computational Intelligence, Springer-Verla.  2010.  (To appear)
     

  13. Y. Meng, H. Guo, and Y. Jin, A Multi-Cellular based Self-Organizing Approach for Multi-Robot Systems, Workshop in Exploring New Horisons in Evolutioanry Design of Robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 09), St. Louis, Missouri, USA.

  14. Y. Jin, H. Guo, and Y. Meng, Robustness Analysis and Failure Recovery for a Bio-inspired Self-organizing Multi-Robot Systems. Third International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2009).  San Francisco, California, Sept. 14-18, 2009.

  15. Y. Jin, Y. Meng, and B. Sendhoff, Evolvability and Robustness of In Silico Evolution of Gene Regulatory Dynamics. 2009 Foundations of Systems Biology in Engineering, Denver, Colorado, August 9-12, 2009.

  16.  H. Guo, Y. Meng, and Y. Jin, Self-organization of Swarm Mobile Agents using a Gene Regulatory Network Model, First International Workshop on Morphogenetic Engineering,  ISC, Paris, June 19, 2009.

  17. H. Guo, Y. Meng and Y. Jin, A Cellular Mechanism for Multi-Robot Construction via Evolutionary Multi-Objective Optimization of a Gene Regulatory Network, BioSystems. Vol. 98, Issue 3, 2009. pp. 193-203.

  18.  H. Guo, Y. Meng, and Y. Jin,   Self-Adaptive Multi-Robot Construction using Gene Regulatory Networks, 2009 IEEE Symposium on Artificial Life (ALIFE 2009), Nashville, TN, USA. Mar. 30- Apr. 2, 2009. (pdf)

  19. Y. Jin, Y. Meng, and B. Sendhoff, Influence of Regulation Logic on the Easiness of Evolving Sustained Oscillation for Gene Regulatory Networks, 2009 IEEE Symposium on Artificial Life (ALIFE 2009), Nashville, TN, USA. Mar. 30- Apr. 2, 2009.

   Cooperative Multi-Robot Systems     

  1. H. Guo, Y. Meng, and Y. Jin, Evolving Dynamic Correlation Matrix based Multi-Agent Reinforcement Learning.  ACM Trans. on Autonomous and Adaptive Systems. (submitted)
     

  2. H. Guo and Y. Meng, Distributed Reinforcement Learning for Coordinate Multi-Robot Foraging. Journal of Intelligent and Robotic Systems. (submitted, under revision review)
     

  3. H. Guo and Y. Meng, Dynamic Correlation Matrix Based Multi-Q Learning for a Multi-Robot System, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2008). Nice, France.  Sept 22-26, 2008. (pdf)

  4. Y. Meng, Q-Learning Adjusted Bio-Inspired Multi-Robot Coordination, Recent Advances in Multi-Robot Systems, Edited by Aleksandar Lazinica, ISBN 978-3-902613-24-0, pp. 139-152, May 2008. I-Tech Education and Publishing, Vienna, Austria. (pdf)
     

  5. Y. Zhang and Y. Meng, A STAGS-based Approach to a Distributed Multi-Robot System in Security Defense.  Journal of Intelligent and Robotic Systems. (submitted, under revision review)
     

  6. Y. Meng and J. Gan, A Distributed Swarm Intelligence based Algorithm for a Cooperative Multi-Robot Construction Task, IEEE Swarm Intelligence Symposium 2008 (SIS 2008). St. Louis, Missouri, Sept. 21-23, 2008.

  7.  Y. Meng and J. Gan, Self-Adaptive Distributed Multi-Task Allocation in a Multi-Robot System.  2008 IEEE Congression on Evolutionary Computation (IEEE CEC 2008) within 2008 IEEE World Congress on Computational Intelligence (WCCI 2008). Hong Kong.  June 1-6, 2008. (pdf)

  8. Y. Meng and J. Gan, LIVS: Local Interaction via Virtual Stigmergy Coordination in Distributed Search and Collective Cleanup, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2007). Oct.29-Nov.2, 2007, San Diego, CA, USA.  (pdf)

  9. Y. Meng, O. Kazeem, and J. Gan,  A Bio-inspired Multi-Robot Coordination, 2007 International Workshop for Multi-Agent Robotic Systems (MARS 07), May 9-12, 2007, May 9-12, Angers, France.

  10. Y. Meng, O. Kazeem, and J. Muller, A Swarm Intelligence Based Coordination Algorithm for Distributed Multi-Agent Systems, 2007 IEEE International Conference on Integration of Knowledge Intensive Multi-Agent Systems (KIMAS 2007), April 29-May 3, 2007, MA, USA. 

  11. Y. Meng, O. Kazeem, and J. Muller,  A Hybrid ACO/PSO Control Algorithm for Distributed Swarm Robots, 2007 IEEE Swarm Intelligence Symposium (SIS 2007), April 1-5, 2007, Honolulu, Hawaii, USA.  (pdf)

  12. Y. Zhang and Y. Meng, Dynamic Multi-Robot Task Allocation for Intruder Detection, 2009 IEEE International Conference on Information and Automation, June 22-25, 2009, Zhuhai/Macau, China.  ( Finalist of best paper award)

  13. Y. Meng, A Game-Theory Based Multi-Robot Search Approach for Multiple Targets, International Journal of Advanced Robotic Systems. vol. 5, no. 4, Dec. 2008, pp.341-350.  (pdf) 

  14. Y. Meng, Dynamic Equation based Algorithm for Multi-Robot Multi-Target Searching, International Journal of Factory Automation, Robotics and Soft Computing, Issue 2, 2008. pp. 7-14. (pdf)

  15. Y. Meng, Dynamic Equation based Algorithm for Multi-Robot Multi-Target Searching, Emerging Technologies, Robotics and Control Systems (Second Edition), International scientific book, ISBN: 978-88-901928-5-2, Editor: Salvatore Pennacchio. June 2008.

  16. Y. Meng, Balancing Exploration and Exploitation using PSO for a Distributed Multi-Robot Coordination, Progress in Autonomous Robot Research, Editor: Frederik N. Mortensen, NOVA Publications, ISBN: 978-1-60456-281-1, April 2008, pp.189-203. (pdf)

  17. M. Conforth and Y. Meng, Communication Scheme Comparison for a Distributed Multi-Agent System, 2008 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA. July 14-17, 2008. ( pdf )

  18. K. Shah and Y. Meng, Communication-Efficient Dynamic Task Scheduling for Heterogeneous Multi-Robot Systems, 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, June 20-23, 2007, Jacksonville, Florida, USA. (pdf)

  19. Y. Meng and K. Shah, A Hybrid Dynamic Task Allocation Approach for a Heterogeneous Multi-Robot System,  2007 International Workshop for Multi-Agent Robotic Systems (MARS 07), May 9-12, 2007, Angers, France.

  20. Y. Meng, J. N. Nickerson, and J. Gan, Multi-robot Aggregation Strategies with Limited Communication, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2006). Oct. 9-15, 2006, Beijing, China.  (pdf)

  21. Y. Meng and K. Cao, Game-Theory based Multi-robot Searching Approach. IEEE International Workshop on Safety, Security, and Rescue Robotics, August 22-24, 2006, Gaithersburg, MD, USA. (pdf)

  22. Y. Meng and K. Cao. Strategic Searching Approaches in a Multi-Robot System.  The Second International Workshop on Multi-Agent Robotic Systems (MARS 2006), August 1-2, 2006, Setubal, Portugal.

  23. Y. Meng, J. N. Nickerson, and J. Gan, Hierarchical Multi-robot Coordination: Aggregation Strategies using Hybrid Communication. 3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2006), August 1-5, 2006, Setubal, Portugal.

  Neuro-Cognitive Learning and Artificial Life

  1. J. Yin, Y. Meng, and Y. Jin, Evolution of Activity-Dependent Plasticity for Online Human Behavior Recognition, IEEE Trans. on Neural Network. (to be submitted)
     

  2. M. Conforth and Y. Meng, Reinforcement Learning using a Swarm Intelligence based Neural Network. Neural Networks. Elsevier. 2009 (submitted)
     

  3. Y. Meng, Y. Jin, J. Yin, and M. Conforth, Human Activity Detection using Spiking Neural Networks Regulated by a Gene Regulatory Network, 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), 2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010). (Accepted).
     

  4. Y. Zheng, Y. Meng, and Y. Jin, Fusing Bottom-up and Top-down Pathways in Neural Networks for Visual Object Recognition, 2010 IEEE World Congress on Computational Intelligence (WCCI 2010). 2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010). (Accepted)
     

  5. M. Conforth and Y. Meng, On the Value of Simple Stoichiometry to ALife Simulations using EcoSim, 2009 IEEE Symposium on Artificial Life (ALIFE 2009), Nashville, TN, USA. Mar. 30- Apr. 2, 2009. (pdf)
     

  6. M. Conforth and Y. Meng, A Hybrid ACO/PSO Training Approach for Artificial Neural Network based Reinforcement Learning, Journal of Experimental and Theoretical Artificial Intelligence. 2009. (In press, available online)
     

  7. M. Conforth and Y. Meng, Artificial Neural Network Based Learning for Mobile Robot Localization, Robotics, Automation, and Control, Edited by P. Pecherkova, M. Flidr, and J. Dunik, ISBN 978-953-7619-18-3, October 2008, I-Tech, Vienna, Austria. (pdf)
     

  8. M. Conforth and Y. Meng, Reinforcement Learning for Neural Networks using Swarm Intelligence, IEEE Swarm Intelligence Symposium 2008 (SIS 2008). St. Louis, Missouri, Sept. 21-23, 2008. (pdf)

  9. M. Conforth and Y. Meng, Toward Evolving Neural Networks using Bio-Inspired Algorithms, The 2008 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA. July 14-17, 2008. ( pdf )

 

Robot Vision ( Object/Behavior Recognition, Tracking, and Learning)  

  1. J. Yin and Y. Meng, A Hierarchical Probabilistic Latent Model for Human Behavior Recognition.  IEEE Trans. on Systems, Man, Cybernetics, Part B.  (submitted)
     

  2. J. Yin and Y. Meng, Behavior Representation and Detection using a Self-organizing Hidden Markov Model, Image and Vision Computing, Elsevier (submitted).
     

  3. Y. Meng, Y. Jin, J. Yin, and M. Conforth, Human Activity Detection using Spiking Neural Networks Regulated by a Gene Regulatory Network, 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), 2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010), (Submitted).
     

  4. Y. Zheng, Y. Meng, and Y. Jin, Fusing Bottom-up and Top-down Pathways in Neural Networks for Visual Object Recognition, 2010 IEEE World Congress on Computational Intelligence (WCCI 2010). 2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010). (Submitted)
     

  5. J. Yin and Y. Meng, Abnormal Behavior Recognition using Self-Adaptive Hidden Markov Models, 2009 International Conference on Image Analysis and Recognition, July 6-8, 2009, Halifax, Canada.
     

  6. Y. Meng, Agent-based Reconfigurable Architecture for Real-Time Object Tracking, Journal of Real-Time Image Processing. Vol. 4, Issue 4, pp. 339-351, 2009.

  7. Y. Zheng and Y. Meng, A Swarm-Intelligence Based Algorithm for Face Tracking. International Journal of Intelligence Systems Technologies and Applications, vol. 7, no. 3, pp.266-281, 2009.  (pdf)

  8. Y. Zheng and Y. Meng, Real-Time People Tracking and Following using a Mobile Robot, New Research in Robot Vision, NOVA Publications, 2009. (pdf)

  9. Y. Zheng and Y. Meng, Particle Swarm Optimization based Particle Filter for Free-Selected Object Tracking, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2008). Nice, France.  Sept 22-26, 2008. (pdf)

  10. Y. Zheng and Y. Meng, Swarm Intelligence based Dynamic Object Tracking, 2008 IEEE Congression on Evolutionary Computation (IEEE CEC 2008) within 2008 IEEE World Congress on Computational Intelligence (WCCI 2008). Hong Kong.  June 1-6, 2008. (pdf)

  11. Y. Zheng and Y. Meng, Adaptive Object Tracking using Particle Swarm Optimization, 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, June 20-23, 2007, Jacksonville, Florida, USA. (pdf)
     

  12. Y. Zheng and Y. Meng, Bayes-based Object Tracking Boosted by Particle Swarm Optimization, 4th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2007), May 9-12, 2007, May 9-12, Angers, France.

  13. Y. Zheng and Y. Meng, Object Detection and Tracking using Particle Swarm Optimization based Methods, Computer Vision Research Progress, NOVA Publications, ISBN 978-1-60021-992-4, 2007. (pdf)

Real-time Reconfigurable Embedded Systems 

  1. Y. Meng, K. Johnson, B. Simms, and M. Conforth, A Generic Architecture of Modular Embedded System for Miniature Mobile Robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2008). Nice, France.  Sept 22-26, 2008. (pdf)

  2.  Y. Meng and Y. Zheng, A System-on-Chip for a PSO-based Mobile Tracking System: Agent-based Architecture Design, International Journal of Embedded Systems. Dec. 2008. (Accepted) 

  3. Y. Meng, K. Johnson, B. Simms, and M. Conforth, A Modular-Based Miniature Mobile Robot for Pervasive Computing, International Journal of Hybrid Information Technology, vol. 1, no.1, 2008. pp.45-55. (pdf)

  4. Y. Meng, An Agent-based Architecture on Reconfigurable System-on-Chip for Real-Time Systems, Handbook on Mobile and Ubiquitous Computing: Innovations and Perspectives, American Scientific Publishers, December 2006. (pdf)

  5. Y. Meng, K. Johnson, B. Simms, M. Conforth, C. Creamer, and C. Hawley, SMARbot: A Miniature Mobile Robot Paradigm for Ubiquitous Computing, 2007 International Conference on Intelligent Pervasive Computing (IPC07), Oct. 11-13, 2007, Jejucity, Korea. 

  6. Y. Meng, A Mobile Vision System with Reconfigurable Intelligent Agents, 2006 IEEE World Congress on Computational Intelligence (WCCI 2006), July 16-21, 2006, Vancouver, BC, Canada. (pdf)

  7. Y. Meng, An Agent-Based Mobile Robot System using SOC Technique, Proceedings of IEEE International Conference on Robotics & Automation (ICRA 2006). Orlando, Florida, May 15-19, 2006. (pdf)

  8. Y. Meng, An Agent-Based Reconfigurable System-on-Chip Architecture for Real-time Systems, The 2nd International Conference on Embedded Software and Systems (ICESS 2005), Xian, China, December 16-18, 2005. (pdf)

  9. Y. Meng, A Dynamic Self-Reconfigurable Mobile Robot Navigation System, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2005), Monterey, California, USA, July 24-28, 2005. (pdf)

  10. Y. Meng, Multi-Agent Based Reconfigurable Embedded Systems, The Fourth Annual Emerging Information Technology Conference (EITC 2004), Princeton, NJ, 2004 (Invited paper) 

 

Vision-based Robot Self-Calibration 

  1. Y. Meng and H. Zhuang, Autonomous Robot Calibration using Vision Technology, International Journal of Robotics and Computer-Integrated Manufacturing,  vol. 23/4, 2006, pp. 436-446. (pdf) 

  2. Y. Meng, and H. Zhuang, Reliable Solution for Object Pose Determination using an Active Vision System, 12th International Conference on Advanced Robotics (ICAR 2005), Seattle, WA, USA, July 18-20, 2005. (pdf)

  3. Y. Meng and H. Zhuang, What You See is What You Get: Implementation of an Algorithm for Self-Calibration Camera Lens Distortion, IEEE Robotics and Automation Magazine, vol. 11, no. 4, December 2004, pp.123-127. (pdf)

  4. Y. Meng and H. Zhuang, Self-Calibration of Camera-equipped Robot Manipulators, Int. Journal of Robotics Research, vol. 20, no. 11, November 2001, pp. 909-921. (pdf)

  5. H. Zhuang and Y. Meng, Using a Scale: Self-calibration of a Robot System with Factor Method, Proceedings of IEEE International Conference on Robotics & Automation (ICRA 2001), Seoul Korea, May 21-26, 2001, pp. 2797-2803. (pdf)
     

  6. Y. Meng and S. P. Chan, Parameters Identification for SCARA Robot, Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARCV'96), Westin Stamford, Singapore, Dec. 4-6, 1996, pp. 498-502.  (pdf)

Bioinformatics

  1.  M. Conforth, Y. Meng, C. Valmikinathan and X. Yu, Nerve Graft Selection for Peripheral Nerve Regeneration using Neural Networks Trained by a Hybrid ACO/PSO Method, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2009),  Nashville, TN, USA. Mar. 30- Apr. 2, 2009.  (pdf)

  2.  Y. Meng, Swarm Intelligence Based Algorithm for Proteomic Pattern Detection of Ovarian Cancer, 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2006), Sept.28-29, 2006, Toronto, Canada. (pdf)

 

  Image Compression and Motor Control 

  1. L. Guo and Y. Meng. PSNR-based Optimization of JPEG baseline Compression on Color Images, International Conference on Image Processing (ICIP 2006), Oct. 8-11, Atlanta, GA, USA. (pdf)

  2.  Y. Meng and L. Guo, Color Image Coding by Utilizing the Crossed Masking, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP05), Philadelphia, USA, March 19-23, 2005, pp. 389-392. (pdf)

  3. L. Guo and Y. Meng, Round-up of integer bit allocation, Electronics Letters, vol.38, no.10, May 2002, pp. 466-467. (pdf)

  4. W. Ge and Y. Meng, A Study of DC Motor Drive with Parallel Speed and Current Loop Configuration, Electrical Drive Automation, vol. 16, no.3, Sept. 1994, pp. 31-36. (pdf)

 

Please send comments to: yan.meng@stevens.edu