Tariq Iqbal

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Group interaction is an important aspect of human social behavior. During some group events, the activities performed by each group member continually influence the activities of others. This process of influence can lead to synchronized group activity, or the entrainment of the group. Understanding entrainment is important, because it can be a critical(More)
To be effective team members, it is important for robots to understand the high-level behaviors of collocated humans. This is a challenging perceptual task when both the robots and people are in motion. In this paper, we describe an event-based model for multiple robots to automatically measure synchronous joint action of a group while both the robots and(More)
In order to be effective teammates, robots need to be able to understand high-level human behavior to recognize, anticipate, and adapt to human motion. We have designed a new approach to enable robots to perceive human group motion in real-time, anticipate future actions, and synthesize their own motion accordingly. We explore this within the context of(More)
The timing of actions in human-robot interaction (HRI) is important for achieving fluency. In order to accurately sense what people are doing and respond appropriately, it is important that the data captured by a robot and any external sensors are time-synchronized. In this paper, we propose a timing model to handle real-time data capture and processing to(More)
Joint action is an increasing area of interest for HRI researchers. To be effective team members, robots need to be able to understand, anticipate, and react appropriately to high-level human social behavior. We have designed a new approach to enable an autonomous robot to act fluently within a synchronous human-robot team. We present an initial description(More)
To become capable teammates to people, robots need the ability to interpret human activities and appropriately adjust their actions in real time. The goal of our research is to build robots that can work fluently and contingently with human teams. To this end, we have designed novel nonlinear dynamical methods to automatically model and detect synchronous(More)
It is challenging to build socially-aware robots due to the inherent uncertainty in the dynamics of human behavior. To become socially-aware, robots need to be capable of recognizing activities in their environment to make informed actions in concert with copresent humans. In this paper, we present and validate an event-based method for robots to detect(More)
As robots enter human environments, they will be expected to collaborate and coordinate their actions with people. In order for robots to become more fluent at this, particularly in groups, robots must be able to recognize, understand, and anticipate coordinated human activities. However, how robots engage in this process can influence the dynamics of the(More)
Hydrokinetic energy conversion technologies, being tested under controlled environment/pilot project, are at a juncture of pre-commercial or commercial deployment. Among various challenges, system control and operation is one where more attention needs to be focused. This article serves the purpose of providing a high-level subjective overview of the(More)