Imran Fanaswala

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Hala is a bilingual (Arabic and English) culturally-sensitive robot receptionist located at Carnegie Mellon University in Qatar. We report results from Hala's deployment by comparing her English dialogue corpus to that of a similar monolingual robot (named "Tank") located at CMU's Pittsburgh campus. Specifically, we compare the average number of turns per(More)
— To realize the vision of intelligent transportation systems with fully automated vehicles, there is a need for high-level planning for single vehicles as well as fleets of vehicles. This paper addresses the problem of optimally assigning and scheduling a set of spatially distributed tasks to a fleet of vehicles working together to achieve a high-level(More)
T he way people interact with robots appears to be fundamentally different from how they interact with most other technologies. People tend to ascribe a level of intelligence and sociability to robots that influences their perceptions of how the interactions should proceed. If a robot, for its part, adheres to this ascription, then the interactions tend to(More)
Task allocation impacts the performance efficiency of agent teams in significant ways. Due to their efficient and proven performance, Market-based task allocation approaches have grown in popularity for many such multi-agent domains. In addition, market-based approaches are very well suited to dynamic domains such as emergency response, in which the set of(More)
HRI studies in a Middle Eastern environment are subject to nuances and subtleties. This study explores the nature of interactions, in an uncontrolled environment, between a permanently deployed bi-lingual robot-receptionist and interlocutors of varied native tongues. We correlate an interlocutor's native language with their propensity for accepting an(More)
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