WIN Seminar: Daniel J. Preston

Friday, September 15, 2023 2:00 pm - 2:00 pm EDT (GMT -04:00)

Material-Enabled Technologies for Soft and Fluidic Robots

The Waterloo Institute for Nanotechnology (WIN) is pleased to present a seminar with Daniel J. Preston, Assistant Professor in the Mechanical Engineering Department at Rice University, Houston, TX, USA.

This seminar is titled "Material-Enabled Technologies for Soft and Fluidic Robots" and will be held on Friday, September 15, 2023 at 2:00 PM in QNC 1501. Registration is required!


The emerging field of soft robotics, which incorporates unconventional or compliant materials in autonomous systems, has simultaneously reshaped traditional robotics applications and introduced new use cases for robots. However, many useful classes of materials remain relatively unexplored, and furthermore, the vast majority of soft robotics research has targeted actuation and sensing, with power and control schemes still relying on bulky, rigid electronic components. My research program addresses open questions in these domains by applying our expertise in energy, fluids, and materials. For instance, biotic materials—non-living materials derived from living organisms—have remained underutilized in robotics, despite having played a role in human development since the times our early ancestors wore animal hides as clothing and used bones for tools. In the first part of my talk, I describe how we repurposed an inanimate spider as a ready-to-use actuator requiring only a single fabrication step, initiating the area of “necrobotics” in which biotic materials are used as robotic components. The second part of my talk focuses on assistive wearable robots, which currently rely on bulky and hard control systems and power supplies, or alternatively require cumbersome tethers to external infrastructure. To address this limitation, my group has developed completely soft fluidic digital logic components fabricated entirely from textiles. Our fluidic logic platform enables integrated memory, decision-making, and the ability to interact with and adapt to stimuli and the environment, all without the use of rigid valves or electronics. Meanwhile, we address limitations in power delivery by developing “self-powered” textile-based wearable robots that harvest energy from the motion of the human body. The integration of fluidic logic and energy harvesting in textile architectures represents an important step toward fully soft, self-sufficient wearable robots that are as comfortable, resilient, and practical as everyday clothing.


Daniel Preston
Dr. Daniel J. Preston directs the Preston Innovation Laboratory at Rice University conducting robotics research at the intersection of energy, materials, and fluids. He is a recipient of the NSF CAREER Award, the ASME Old Guard Early Career Award, and the Energy Polymer Group Certificate of Excellence. His group’s recent work has been published in PNAS, Science Advances, Science Robotics, Nano Letters, and Advanced Science. His lab is funded by NASA, the National Science Foundation, and the Department of Energy, among other sources. Dr. Preston earned his B.S. (2012) in mechanical engineering from the University of Alabama and his M.S. (2014) and Ph.D. (2017) in mechanical engineering from the Massachusetts Institute of Technology. Following his graduate degrees, he trained as a postdoctoral fellow from 2017 to 2019 at Harvard University in the Department of Chemistry and Chemical Biology prior to joining Rice University as an assistant professor in July 2019.