Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

There has been an emerging paradigm shift from the era of “internet AI” to “embodied AI,”
where AI algorithms and agents no longer learn from datasets of images, videos or text …

We propose a sim-to-real framework for dexterous manipulation which can generalize to
new objects of the same category in the real world. The key of our framework is to train the …

Tactile information plays a critical role in human dexterity. It reveals useful contact
information that may not be inferred directly from vision. In fact, humans can even perform in …

Throughout history, we have successfully integrated various machines into our homes.
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …

Force and strain sensors made of soft materials enable robots to interact intelligently with
their surroundings. Capacitive sensing is widely adopted thanks to its low power …

Equipping multi-fingered robots with tactile sensing is crucial for achieving the precise,
contact-rich, and dexterous manipulation that humans excel at. However, relying solely on …

Dexterity is often seen as a cornerstone of complex manipulation. Humans are able to
perform a host of skills with their hands, from making food to operating tools. In this paper …

Metaverse opens up a new social networking paradigm where people can experience a real
interactive feeling without physical space constraints. Social interactions are gradually …

Optical tactile sensors have recently become popular. They provide high spatial resolution,
but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study the …