Artificial intelligence (AI) technology has greatly expanded human capabilities through
perception, understanding, action, and learning. The future of AI depends on cooperation …

What does transparency mean in a shared autonomy framework? Different ways of
understanding system transparency in human-robot interaction can be found in the state of …

Advancements in novel neurotechnologies, such as brain computer interfaces (BCI) and
neuromodulatory devices such as deep brain stimulators (DBS), will have profound …

Humans and animals are capable of learning a new behavior by observing others perform
the skill just once. We consider the problem of allowing a robot to do the same--learning …

In shared autonomy, user input is combined with semi-autonomous control to achieve a
common goal. The goal is often unknown ex-ante, so prior work enables agents to infer the …

Effective human-robot collaboration in shared autonomy requires reasoning about the
intentions of the human partner. To provide meaningful assistance, the autonomy has to first …

Humans have a remarkable ability to learn new concepts from only a few examples and
quickly adapt to unforeseen circumstances. To do so, they build upon their prior experience …

Assistive robot arms enable people with disabilities to conduct everyday tasks on their own.
These arms are dexterous and high-dimensional; however, the interfaces people must use …

Inferring intent from observed behavior has been studied extensively within the frameworks
of Bayesian inverse planning and inverse reinforcement learning. These methods infer a …

Control of a robotic arm using a brain–computer interface (BCI) for reach and grasp activities
is one of the most fascinating applications for some severely disabled people, which is …