Taming topological electronic phases is a fundamental challenge and an important milestone on the way towards novel electronic devices and topological quantum computation. Recent advances in fabrication techniques have made […]
Unlike the problem of safe task and motion planning in a completely known environment, the setting where the obstacles in a robot's workspace are not initially known and are incrementally […]
Software is everywhere, and almost everywhere, software is broken. Some bugs just crash your printer; others hand an identity thief your bank account number; still others let nation-states spy on […]
Abstract: For successful integration of autonomous systems such as drones and self-driving cars in our day-to-day life, they must be able to quickly adapt to ever-changing environments, and actively reason […]
Abstract Metal-organic frameworks (MOFs) are a versatile class of nanoporous materials synthesized in a “building-block” approach from inorganic nodes and organic linkers. By selecting appropriate building blocks, the structural and […]
Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and […]
Nanoparticles offer huge promise as drug delivery vehicles, though their translation to the clinic is hampered due to limited accumulation at target disease sites. To overcome this hurdle, we have […]
The slowdown in transistor scaling and the end of Moore's law indicate a need to invest in new computing paradigms; specialized hardware devices, such as FPGAs and ASICs, are a […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Arjun Raj are pleased to announce the Doctoral Dissertation Defense of Lauren Beck. Title: Uncovering Constraints on Organoid Morphologies […]
Quantum computers may solve some problems beyond the reach of classical digital computers. However, emerging quantum systems are typically noisy and difficult to control, leaving a significant gap between the […]
Abstract: Complex real-world environments continue to present significant challenges for fielding robotic teams, which often face expansive spatial scales, difficult and dynamic terrain, degraded environmental conditions, and severe communication constraints. […]
Machine learning techniques have been successful for processing complex information, and thus they have the potential to play an important role in data-driven decision-making and control. However, ensuring the reliability […]