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 …

Vision-based teleoperation offers the possibility to endow robots with human-level
intelligence to physically interact with the environment, while only requiring low-cost camera …

In shared autonomy, a user and autonomous system work together to achieve shared goals.
To collaborate effectively, the autonomous system must know the user's goal. As such, most …

Objective. We used native sensorimotor representations of fingers in a brain–machine
interface (BMI) to achieve immediate online control of individual prosthetic fingers …

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 …

With the rapid growth of computing powers and recent advances in deep learning, we have
witnessed impressive demonstrations of novel robot capabilities in research settings …

Advancements in robotic technology are making it increasingly possible to integrate robots
into the human workspace in order to improve productivity and decrease worker strain …