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 Embedded Systems and Robotics Laboratory

 

 

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   Self-Organizing Morphogenetic Robotics 

  1. Y. Meng and Y. Jin (Ed.), Bio-Inspired Self-Organizing Robotic Systems, Studies in Computational Intelligence, Vol.355, ISBN 978-3-642-20759-4. Springer. 2011.

  2. Y. Jin, H. Guo, and Y. Meng, A Hierarchical Gene Regulatory Network for Adaptive Multi-Robot Pattern Formation, IEEE Trans. on Systems, Man and Cybernetics -Part B. (In Press)

  3. Y. Jin and Y. Meng, Evolutionary Developmental Robotics: The Next Step to Go?,  IEEE CIS Autonomous Mental Development Newsletter, vol. 8, no. 2, pp. 2-3 & pp. 9-11, 2011. 

  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. (In Press)

  5. Y. Jin and Y. Meng, Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems. in Bio-Inspired Self-Organizing Multi-Agent Systems, Y. Meng and Y. Jin (Eds), Studies on Complexity Intelligence Book Series, Springer. 2011.

  6. Y. Meng and Y. Jin, Morphogenetic Self-Reconfiguration of Modular Robots. in Bio-Inspired Self-Organizing Multi-Agent Systems, Y. Meng and Y. Jin (Eds), Studies on Complexity Intelligence Book Series, Springer. 2011.

  7. Y. Jin and Y. Meng,  Emergence of Robust Regulatory Motifs from in silico Evolution of Sustained Oscillation, BioSystems.  103(1):38-44, 2011.

  8. Y. Jin and Y. Meng, Morphogenetic Robotics: An Emerging New Field in Developmental Robotics, IEEE Trans. on Systems, Man, and Cybernetics, Part C.  vol. 41, no.2, pp.145-160, 2011.

  9. Y. 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. Doursat, H. Sayama, and O. Michel (Eds.), Studies on Complexity Book Series, Springer. 2011.

  10. H. Guo, Y. Meng, and Y. Jin, Swarm robot pattern formation using a morphogenetic multi-cellular self-organization algorithm, 2011 IEEE International Conference on Robotics and Automation (ICRA 2011). Shanghai, China, May 9-13, 2011.

  11. Y. Meng, Y. Zhang, A. Sampath, Y. Jin, and B. Sendhoff, Cross-Ball: A New Morphogenetic Self-Reconfigurable Modular Robot, 2011 IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China, May 9-13, 2011.

  12. 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). Odense, Denmark, August 19-23, 2010.

  13. H. Guo, Y. Meng and Y. Jin, Analysis of Local Communication Load in Shape Formation of a Distributed Morphogenetic Swarm Robotic System. 2 2010 IEEE Congress on Evolutionary Computation (CEC 2010). Bacelona, Spain, July 18-23, 2010.

  14. 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.

  15. 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,  S. Doncieux, N. Bredeche, and J.B. Mouret (Eds.), Studies in Computational Intelligence, Springer-Verla.  2011. 

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21.  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.

  22. 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. (pdf)

   Distributed Control of Multi-Robot Systems     

  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. (In Press)

  2. Y. Zhang and Y. Meng, A Decentralized Multi-Robot System for Intruder Detection in Security Defense, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). Taipei, Taiwan, Oct. 18-22, 2010.

  3. Y. Meng and Y. Jin, Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence, International Journal of Swarm Intelligence Research. 1(2), pp. 58-79, April-June 2010.

  4. H. Guo and Y. Meng, Distributed Reinforcement Learning for Coordinate Multi-Robot Foraging. Journal of Intelligent and Robotic Systems. vol. 60, issue 3, pp. 531-551, 2010.

  5. 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)

  6. 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)

  7. 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.

  8.  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)

  9. 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)

  10. 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.

  11. 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. 

  12. 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)

  13. 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)

  14. 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) 

  15. 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)

  16. 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.

  17. 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)

  18. 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 )

  19. 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)

  20. 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.

  21. 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)

  22. 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)

  23. 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.

  24. 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.

  Cognitive Systems and Machine Learning

  1. J. Yin, Y. Meng, and Y. Jin, A Developmental Approach to Structural Self-Organization in Reservoir Computing,  IEEE Trans. on Autonomous Mental Development. (accepted with revision)

  2. Y. Meng, Y. Jin and J. Yin, Evolution of Activity-Dependent Plasticity for Online Human Behavior Recognition, IEEE Trans. on Neural Network. vol. 22, no.12, pp.1952-66, 2011.

  3. M. Conforth and Y. Meng, Self-organizing Knowledge Representation for Autonomous Learning in Social Agents, 2011 IEEE International Joint Conference on Neural Networks (IJCNN), San Jose, California, July 31-Aug. 5, 2011.

  4. M. Conforth and Y. Meng, CHARISMA: A Context Hierarchy-based Cognitive Architecture for Self-motivated Social Agents, 2011 IEEE International Joint Conference on Neural Networks (IJCNN), San Jose, California, July 31-Aug. 5, 2011.

  5. Y. Zheng and Y. Meng, Modular Neural Networks for Multi-Class Object Recognition, 2011 IEEE International Conference on Robotics and Automation (ICRA 2011). Shanghai, China, May 9-13, 2011.

  6. Y. Zheng, Y. Meng, and Y. Jin, Objective Recognition by Fusing Bottom-up and Top-down Pathways in Neural Networks, Neurocomputing, vol.74, no. 17, pp3158-3169, 2011.

  7. Y. Meng, Y. Jin, J. Yin, and M. Conforth, Human Activity Detection using Spiking Neural Networks Regulated by a Gene Regulatory Network,  2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010), Bacelona, Spain, July 18-23, 2010.

  8. Y. Zheng, Y. Meng, and Y. Jin, Fusing Bottom-up and Top-down Pathways in Neural Networks for Visual Object Recognition, 2010 IEEE International Joint Conference on Neural Networks (IJCNN 2010). Bacelona, Spain, July 18-23, 2010.

  9. 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. 22(3), pp.197-218, 2010.

  10. J. Yin and Y. Meng, Human Activity Recognition in Video Using a Hierarchical Probabilistic Latent Model, Third IEEE Workshop on CVPR for Human Communicative Behavior Analysis, San Francisco, June 18th, 2010.

  11. 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)

  12. 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.

  13. 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.

  14. 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)

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

  16. 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)

  17. 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)

  18. 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 )

  19. 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)

  20. 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)

  21. 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)

  22. 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.

  23. 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, 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)

  3. 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)

  4. 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. 

  5. 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)

  6. 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)

  7. 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)

  8. 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)

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

 

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