Eric Meisner

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— We study the problem of designing motion-planning and sensor assignment strategies for tracking multiple targets with a mobile sensor network. We focus on triangulation based tracking where two sensors merge their measurements in order to estimate the position of a target. We present an iterative and distributed algorithm for the tracking problem. An(More)
Many robotics tasks require a robot to share the same workspace with humans. In such settings, it is important that the robot performs in such a way that does not cause distress to humans in the workspace. In this paper, we address the problem of designing robot controllers which minimize the stress caused by the robot while performing a given task. We(More)
Humans rely on a finely tuned ability to recognize and adapt to socially relevant patterns in their everyday face-to-face interactions. This allows them to anticipate the actions of others, coordinate their behaviors, and create shared meaning to communicate. Social robots must likewise be able to recognize and perform relevant social patterns, including(More)
We address the problem of propagating a piece of information among robots scattered in an environment. Initially, a single robot has the information. This robot searches for other robots to pass it along. When a robot is discovered, it can participate in the process by searching for other robots. Since our motivation for studying this problem is to form an(More)
The sensors include sonar, cameras, keyboard, the dead reckoning position and a microphone. The drivers for using these sensors, as well as a library for writing behaviors, were provided with the ActivMedia robot. 2 We produced a map of the competition areas in advance using a tape measure. On this map we drew a graph of places that the robot could go from(More)
— Allowing robots to communicate naturally with humans is an important goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. However, research in cognitive science shows that people often build common ground for communication with each other by seeking and providing evidence of understanding through(More)
Mabel (the Mobile Table) is a robotic system that can perform waypoint and vision guided navigation, speech generation , speech recognition, person finding, face finding, and face following. Mabel can interact intelligently with humans in two different settings: food and information serving. The robot's architecture is flexible and easily adaptable to other(More)
This work describes an approach to time-series modeling of social interactions between human and robot, which is motivated by the social psychology concept of social grounding. In this model, the goal of the agents is to establish and use patterns of communication, rather than rely on existing patterns. Our goal is to allow an artificial agent to construct(More)
This paper introduces " outside-in design " as a collabo-rative approach to social robot design and human-robot interaction research. As an interdisciplinary group of social and computer scientists, we follow an iterative practice of collecting and analyzing data from real-world interaction, designing appropriate robotic perception and control mechanisms,(More)