Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm […]
Random fiber networks are integral to biological materials such as the extracellular matrix, cytoskeleton, and blood clots. A random fiber network is the main structural component of the extracellular matrix, […]
Our lab combines adhesion and tribology with modern polymers and surface coatings to understand soft interfaces in biology towards improving human health and accessibility. On the scale of cells, mechanical […]
This is a hybrid event with in-person attendance in AGH 306 and virtual attendance via Zoom. ABSTRACT The last few years are witnessing a major shift in the way we […]
Join Penn AI on June 18 @ 2PM for an exciting webinar exploring how artificial intelligence is transforming every corner of healthcare—from dental exams to home care, medical imaging to […]
Soft robotic systems, defined as both compliant robotic platforms and mechanically adaptive structures, offer unique advantages such as safe human-machine interaction, structural flexibility, and environment-driven reconfigurability. By relying on deformable […]
Robots are complex, high-dimensional systems, governed by nonlinear, underactuated dynamics and evolving on non-Euclidean manifolds, posing numerous challenges for control synthesis and analysis. While optimization-based methods of control can flexibly […]
Understanding how marine animals migrate is critical for assessing the impacts of climate change on ocean ecosystems—and yet current Autonomous Underwater Vehicles (AUVs), with their noisy propellers and rigid hulls, […]
Emerging edge AI systems call for device-level approaches that are inherently low-power, secure, and capable of managing uncertainty. In this talk, I will share our recent exploratory efforts toward realizing […]
This is a hybrid event with in-person attendance in Wu & Chen auditorium and virtual attendance via Zoom. ABSTRACT The quest for intelligent robots capable of learning complex behaviors from […]
