• • New: Constrained Exploration in Reinforcement Learning with Optimality Preservation.  https://arxiv.org/abs/2304.03104  

  • 02/19: Our paper, entitled: “Experimental evaluation of the stimuli-induced equilibrium point concept for automatic ramp merging systems”, was accepted for publication by the IEEE Transactions on Intelligent Transportation Systems. 

  • 01/19: Yazhini passed her PhD oral examination. Congratulations!

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We engage in the research and development of methods and their applications in the areas of microsystems and robotics. Our research focuses on mechanical manipulation of physical and biological systems at micro to macro scale, with the aim of producing practical and innovative engineering solutions.

We actively seek opportunities for collaboration with peers and with industry. If our methods and technologies are useful for your R & D work, we invite you to get in touch with us. For prospective students (at all levels) who aspire to specialize in microsystem engineering and robotics, we welcome you to join us.