Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

Abstract Purpose of Review Current real-world interaction between humans and robots is
extremely limited. We present challenges that, if addressed, will enable humans and robots …

Researchers in human–robot collaboration have extensively studied methods for inferring
human intentions and predicting their actions, as this is an important precursor for robots to …

For many applications of Markov Decision Processes (MDPs), the transition function cannot
be specified exactly. Bayes-Adaptive MDPs (BAMDPs) extend MDPs to consider transition …

Robots in urban environments will inevitably encounter situations beyond their capabilities
(eg, delivery robots unable to press traffic light buttons), necessitating bystander assistance …

Recently, there has been great interest in deploying autonomous mobile robots in airports,
malls, and hospitals to complete a range of tasks such as delivery, cleaning, and patrolling …

For effective human-agent teaming, robots and other artificial intelligence (AI) agents must
infer their human partner's abilities and behavioral response patterns and adapt accordingly …

Curiosity is increasingly being looked at to develop interactive non-human agents capable
of lifelong learning, particularly in the space of Ai driven agents. However, the way a non …