Abstract: Some of the most impressively fast movements are found in small biological systems, from the strikes of trap-jaw ants to and snaps of shrimp. These movements all come under the framework of latch-mediated spring actuation (LaMSA) systems. These LaMSA systems store potential energy in a spring, the spring is then released with a latch. Biological systems in particular make use tightly integrated geometric and material features to store elastic energy in more than one location. Recent discoveries in trap jaw ants (Odontomachus brunneus) and snapping shrimp (Alpheus heterochaelis) show that these impressive movements are actuated by multiple springs working together to close jaws and snap claws. These dual spring systems may be used by many spring-actuated biological systems, but how are these principles abstracted to robotics? Moreover, what new abilities are conferred in a robotic system, and what might be restricted?
To begin to answer these questions, biological systems will be dissected to understand the mechanisms driving these movements, and engineering models will allow an exploration of these spaces far beyond what is seen in biology. Through this, limitations will be identified for the various components that contribute to these impressive movements. These limitations will form a framework for navigating the trade-offs in design and control as we look toward making similarly impressively fast engineered systems.
Bio: Ryan St. Pierre is an Assistant Professor in the Department of Mechanical and Aerospace Engineering and Computer Science and Engineering at the University at Buffalo working at the intersection of microrobotics, microsystems, and biological systems. Prior to joining UB, he was a postdoctoral research associate at Carnegie Mellon University. He received his PhD in 2018 from the University of Maryland, and MS and BS degrees in 2013 from Northeastern University. His research interests focus on bringing microrobots toward autonomy through understanding both highly dynamic biological systems and resource-constrained robotics. His work in microrobotics has been recognized with the Best Paper award at the 2018 Solid-State Sensors, Actuators, and Microsystems Workshop and Ryan has been highlighted on the 2020 Forbes 30 Under 30 Science list.