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 about their safety and that of other users and autonomous systems around them. Even though control-theoretic approaches have been used for decades now for the […]
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 chemical properties of the resulting materials can be finely tuned, and this makes MOFs promising materials for applications such as gas storage, chemical separations, sensing, […]
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 promising solution as they can achieve high processing capabilities and energy efficiency. However, a major barrier to the global success of specialized computing is 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. Breakthrough technologies call for integrated solutions across autonomy, perception, networking, mobility, and human teaming thrusts. As such, the DARPA OFFSET program and the DARPA Subterranean […]
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 of these methods in feedback systems remains a challenge, since classic statistical and algorithmic guarantees do not always hold. In this talk, I will provide […]
Physical Sciences in Oncology Center PSOC@Penn Spring 2021 Webinar Series Mondays at 12:00 noon (EST) For webinar links, please contact manu@seas.upenn.edu.
Soft elastic solids, such as elastomers and hydrogels, are used in many practical applications ranging from adhesives to biocompatible scaffolds for tissue engineering. Biological cells and tissues have very similar mechanical properties as those of soft materials. Such solids undergo large deformations and can respond to forces such as interfacial tension, gravity, and residual stresses […]
The efficient use of electrical energy is a foundation of modern society. Power electronics is at the core of electrical energy conversion and greatly impacts a system’s size, performance, and cost. High-performance miniaturized power electronics can be a key enabling technology for many emerging applications, such as electric vehicles (EV), medical devices, and soft- and […]
Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical understandings lag behind. In particular, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk, we will present the two sides of the same coin, […]
Physical Sciences in Oncology Center (PSOC@Penn) Spring 2021 Webinar Series. For webinar link, contact manu@seas.upenn.edu.
