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 …

Encountered-type haptic devices (EHDs) face a number of challenges when physically
embodying content in a virtual environment, including workspace limits and device latency …

Effectiveness of computer vision techniques has been demonstrated through a number of
applications, both within and outside healthcare. The operating room environment …

Predicting human motion behavior in a crowd is important for many applications, ranging
from the natural navigation of autonomous vehicles to intelligent security systems of video …

Prediction of sea ice motion is important for safeguarding human activities in polar regions,
such as ship navigation, fisheries, and oil and gas exploration, as well as for climate and …

This paper studies the robustness of reinforcement learning algorithms to errors in the
learning process. Specifically, we revisit the benchmark problem of discrete-time linear …

Crowd behavior understanding is crucial yet challenging across a wide range of
applications, since crowd behavior is inherently determined by a sequential decision …

Reach redirection is an illusion-based virtual reality (VR) interaction technique where a
user's virtual hand is shifted during a reach in order to guide their real hand to a physical …

An algorithm called adaptive-neural-intention estimator (ANIE) is presented to infer the intent
of a human operator's arm movements based on the observations from a 3-D camera sensor …

Risk monitoring is a critical task in numerous industrial fields, including construction
engineering. Existing approaches primarily focus on identifying the immediate incidents of …