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Embedded Systems and Robotics Laboratory (ESRL) was founded by Prof. Yan Meng in August 2004.  We aim to discover and develop fundamental scientific principles and practices that are applicable to the broad and far-reaching real-world applications, such as robotics and real-time embedded systems. The projects of this interdisciplinary laboratory span the areas of autonomous robots (mainly focus on bio-inspired morphogenetic robotics), computational intelligence, artificial life, machine learning, real-time embedded systems, and bioinformatics.  The major application domains of these research projects include adaptive complex systems, urban search and rescue, homeland security, surveillance systems, and healthcare.

My major research interests include: 

• Bio-inspired Self-organizing Engineering Systems

  • Morphogenetic Robotics an emerging new methodologies that address challenges in self-organizing robotic systems inspired by biological morphogenesis.  We mainly focus on the following research topics:  Self-organizing morphogenetic swarm robots, Self-reconfigurable morphogenetic modular robots, and Brain-body coevolution of developmental robotics

  • Evolutionary Development Robotics: new methodologies that systematically integrate evolutionary robotics, epigenetic robotics, and morphogenetic robotics to study the evolution, physical and mental development and learning of intelligent robotic systems.

     

• Computational Intelligence in Bioinformatics and Biomedical Engineering

  •  Computational modeling and analysis for biomedical engineering (e.g., peripheral nerve regeneration, biomarker detection)

  •  Computational modeling for biological morphogenesis and tumor development

• Artificial Intelligence and Machine Learning

  • Cognitive architecture of general artificial intelligence for embodied intelligent systems

  • Visual object/behavior recognition and learning using neurocognitive approaches

   

• Real-time Embedded Systems

  •  Agent-based architecture for reconfigurable embedded systems

   

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