This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Despite recent advances in machine learning for robotics, current approaches often lack […]
Abstract: Biological systems utilize networks of biochemical reactions to drive autonomous and dynamic processes. Examples include the dynamic polymerization of microtubules and the dynamic min protein system in E. Coli. […]
Contact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials […]
My group is developing a roadmap for soft actuating materials to replace bulky electric motors in miniature robots requiring large mechanical work output. First, I will describe the materials microstructure and […]
We have recently demonstrated the possibility of learning controllers that are zero-shot transferable to groups of real quadrotors via large-scale, multi-agent, end-to-end reinforcement learning. We train policies parameterized by neural […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of Kevin Xie. Title: Extracting Insights From Electronic Health […]
This will be an in-person event only with in-person attendance in Wu and Chen. This seminar will not be recorded or available on Zoom. Amazon Robotics Tech Talk & Networking […]
The ASSET and Warren Center will be hosting a research mixer to welcome new PhD students and expose new and current students to the wide range of research in Penn […]
Information is usually expected to propagate across a population of active agents such as living cells or birds in a diffusive manner. Yet waviness in the microstructure of dental enamel […]
For the past fifty years, researchers of semiconductor technology have felt like walking inside a tunnel. There was a single path forward – two-dimensional down-scaling of device sizes, also referred […]
Discoveries of unique adhesive and frictional properties in biological attachment systems have, over the past two decades, demonstrated how near-surface architecture at lengths between the molecular (a few nm) and […]
The design and control of dynamical systems have long been core objectives of engineering. In this thesis, we tackle the complexities of design and control across paradigms ranging from Boolean […]