ESE

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 strength and superior electrical properties, presenting exciting probabilities in many applications. Combined with its large surface area and biocompatibility, graphene is particularly promising for the […]

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 to an area to nonetheless navigate that area successfully. In the context of multi-robot systems, the maps and information that flow between robots are what […]

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 for effective distributed learning, a multitude of obstacles emerge, including communication limitations, resilience to failures and corrupted data, limited information access, and collaboration in multi-task […]

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 computer systems (CPU cores and accelerators, etc.), efficiently integrating emerging memories into existing systems poses new challenges to both algorithm, hardware and system. This dissertation […]

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 models, while rich in detail, are often too computationally demanding for real time planning, whereas conventional reduced-order models (ROMs) tend to oversimplify the dynamics, limiting […]