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Over the last decade, the cost of producing genomic sequences has dropped dramatically due to the current so-called next-generation sequencing methods. However, these next-generation sequencing methods are critically dependent on fast and sophisticated data processing methods for aligning a set of query sequences to a reference genome using rich string(More)
—Robots are envisioned to collaborate with people in tasks that require physical manipulation such as a robot instructing a human in assembling household furniture, a human teaching a robot how to repair machinery, or a robot and a human collaboratively completing construction work. These scenarios characterize joint actions in which the robot and the human(More)
As robots collaborate with humans in increasingly diverse environments, they will need to effectively refer to objects of joint interest and adapt their references to various physical, environmental, and task conditions. Humans use a broad range of deictic gestures-gestures that direct attention to collocated objects, persons, or spaces-that include(More)
During conversations, addressees produce conversational acts—verbal and nonverbal backchannels—that facilitate turn-taking, acknowledge speakership, and communicate common ground without disrupting the speaker's speech. These acts play a key role in achieving fluent conversations. Therefore, gaining a deeper understanding of how these acts interact with(More)
Robotic products are envisioned to offer rich interactions in a range of environments. While their specific roles will vary across applications, these products will draw on fundamental building blocks of interaction, such as greeting people, narrating information, providing instructions, and asking and answering questions. In this paper, we explore how such(More)
—From teaching in labs to training for assembly, a key role that robots are expected to play is to instruct their users in completing physical tasks. While task instruction requires a wide range of capabilities, such as effective use of verbal and nonverbal language, a fundamental requirement for an instructional robot is to provide its students with task(More)
In everyday interactions, humans naturally exhibit behavioral cues, such as gaze and head movements, that signal their intentions while interpreting the behavioral cues of others to predict their intentions. Such intention prediction enables each partner to adapt their behaviors to the intent of others, serving a critical role in joint action where parties(More)
This paper details the creation of a two-day computer science and robotics outreach course aimed at simultaneously engaging youth (children, ages 9-14) and senior (their grandparents, ages 55+) students. Our goal is to encourage enthusiasm for science and technology in students of all ages as well as provide practical instruction regarding common computer(More)