Simulators are an essential tool for behavioural and interaction research on driving, due to
the safety, cost, and experimental control issues of on-road driving experiments. The most …

We present a decision-theoretic model and robot system that interprets multimodal human
communication to disambiguate item references by asking questions via a mixed reality …

Human pose estimation is a key technique for many vision-based mobile applications. Yet
existing multi-person pose-estimation methods fail to achieve a satisfactory user experience …

Augmented Reality (AR) technologies present an exciting new medium for human-robot
interactions, enabling new opportunities for both implicit and explicit human-robot …

Robots operating alongside humans in field environments have the potential to greatly
increase the situational awareness of their human teammates. A significant challenge …

In previous work, researchers have repeatedly demonstrated that robots' use of deictic
gestures enables effective and natural human-robot interaction. However, new technologies …

Expressivity-the use of multiple modalities to convey internal state and intent of a robot-is
critical for interaction. Yet, due to cost, safety, and other constraints, many robots lack high …

For mobile robots, mobile manipulators, and autonomous vehicles to safely navigate around
populous places such as streets and warehouses, human observers must be able to …

For teams of humans and mobile robots to work together, several challenges must be
overcome, including understanding each others' position, merging map information, sharing …

Mixed Reality provides a powerful medium for transparent and effective human-robot
communication, especially for robots with significant physical limitations (eg, those without …