Over the next decade, the biggest generator of data is expected to be devices that sense and control the physical world. The explosion of real-time data that is emerging from […]
2D materials is a rapidly expanding class of materials that have captivated academia and industry with their ultrathin nature and remarkable properties. Graphene, the first discovered material, shows exceptional mechanical […]
Mapping and navigation have gone hand-in-hand since long before robots existed. For almost as long, maps have also been a key form of communication, allowing someone who has never been […]
This thesis is dedicated to addressing the challenges of robust collaborative learning and optimization in both discrete and continuous domains. With the ever-increasing scale of data and the growing demand […]
There is currently a critical need for blood donors, and members of the Penn Engineering community are invited to participate in a school-wide blood drive. To join in this effort, […]
Emerging 3D memory technologies, such as the Hybrid Memory Cube (HMC) and High Bandwidth Memory (HBM), provide high bandwidth and massive memory-level parallelism. With the growing heterogeneity and complexity of […]
Plasmonic nanostructure based on silver and gold that produces LSPR to withstand ultrahigh temperatures without damage remains a great challenge for future ultra-compact integrated circuits, and high-power enabled photonic devices. […]
Advances in microelectromechanical systems (MEMS) have enabled the widespread development of sensors for a variety of consumer, automotive, and wearable healthcare electronics applications. However, there is increasing interest in the […]
Quantum physics puts a limit on how small the noise added by an amplifier can be. Limiting this extra noise, which causes unavoidable signal degradation, is an essential requirement for […]
This thesis addresses the challenges of model-based planning and control in legged locomotion, particularly the trade-off between computational speed and robot performance presented by different levels of model complexities. Full-order […]
