September 9, 2026
Distribution shift, i.e. a change in the distribution of input/output data between training and test time, remains an enduring challenge in modern ML. In practice, methods to improve robustness of […]
Learn MoreSeptember 9, 2026
Distribution shift, i.e. a change in the distribution of input/output data between training and test time, remains an enduring challenge in modern ML. In practice, methods to improve robustness of […]
Learn MoreSeptember 9, 2026
Abstract: Synthetic biology aims to apply engineering principles to design novel or improved biological systems for a wide range of biotechnological and biomedical applications. However, due to the complexity of […]
Read MoreSeptember 10, 2026
The development of a fully engineered artificial heart capable of replicating natural cardiac function remains a critical clinical and engineering challenge. Current artificial heart prototypes are still far from replicating […]
Read MoreSeptember 10, 2026
Advances in capacitors, batteries, actuators, ion-transport membranes, sensors and triboelectric nanogenerators require materials with high dielectric constants (εs). Synthesis of high εs soft materials is currently approached by three methods: […]
Read MoreContact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials […]
My group is developing a roadmap for soft actuating materials to replace bulky electric motors in miniature robots requiring large mechanical work output. First, I will describe the materials microstructure and […]
We have recently demonstrated the possibility of learning controllers that are zero-shot transferable to groups of real quadrotors via large-scale, multi-agent, end-to-end reinforcement learning. We train policies parameterized by neural […]