Tuesday, February 19, 2019 - 10:00am to 11:00am
Rogers 226

Speaker Information

Ryan St. Pierre
Post-Doctoral Researcher
Carnegie Mellon University


The highly dynamic mobility of insects inspires an entire field of microrobotics, with future visions of ubiquitous small-scale robots. However, current microrobots pale in comparison to insects not only in mobility and application capabilities, but overall in autonomy. Insects take advantage of their muscles as actuators, neural systems for control, mechanisms from multiple materials, and a variety of sensors to accomplish tasks. This leads to driving questions (1) what enables highly dynamic mobility, and ultimately autonomy, in insects and (2) how can we apply lessons learned about insects to small-scale robots that are inherently resource constrained?

To begin answering these questions, physical, robotic models are utilized as reduced parameter analogs to biological systems. An experimental platform and robots are presented to study locomotion that is scalable and adaptable for different robot designs from 1 g to 1 mg. Experimental data is coupled with numerical models to begin understanding the role of legs and material choice as robots scale down in size. Multiple materials enable dynamic behaviors in insects, while robots can use material to program desired behaviors. Bringing together experimental robotic platforms, biological system insights, and computation models, this work points toward directions to enable future autonomy in microrobotics platforms.

Speaker Bio

Ryan St. Pierre is presently a post-doctoral researcher at Carnegie Mellon University working at the intersection of biological systems and microrobotics. He received his doctoral degree in 2018 from the University of Maryland, with a research focus on small-scale locomotion, and MS  and BS degrees in 2013 from Northeastern University. His research interests include microsystems and robotics to create highly dynamic microrobots inspired by insects at similar scales. His work in microrobotics has been recognized with the Best Paper award at the 2018 Solid-State Sensors, Actuators, and Microsystems Workshop and covered by IEEE Spectrum.