Cory J. Hayes

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In this paper we present a new approach for the non-rigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed: The global motion of the breast is modelled by an aane transformation while the local breast motion is described by a free-form deformation FFD based on B-splines.(More)
Contextual cues strongly in influence the behavior of people in social environments, and people are very adept at interpreting and responding to these cues. While robots are becoming increasingly present in these spaces, they do not yet share humans' essential sense of contextually-bounded social propriety. However, it is essential for robots to be able to(More)
Non-verbal, or visual, communication is an important factor of daily human-to-human interaction. Gestures make up one mode of visual communication, where movement of the body is used to convey a message either alone or in conjunction with speech. The purpose of this experiment is to explore how humans perceive gestures made by a humanoid robot compared to(More)
This paper describes our ongoing research effort to explore how personality types factor into HRI; in particular, the degree of patience a person has when teaching an error-prone robot in a learning from demonstration setting. Our goal is to establish personality metrics that will ultimately allow for the design of algorithms that automatically tune robot(More)
The number of social robots used in the research community is increasing considerably. Despite the large body of literature on synthesizing facial expressions for synthetic faces, there is no general solution that is platform-independent. Subsequently , one cannot readily apply custom software created for a specific robot to other platforms. In this paper,(More)
In order to develop critiquing, tutoring, knowledge acquisition, and management training strategies that are effective for a broad range of people wit% varied experience it is necessary to understand how human planners' behavior , knowledge structure and problem solving strategies evolve over time as a novice becomes an expert in a given domain. In this(More)
The presence of neuropathic pain in the postoperative period may be associated with unnecessary suffering, particularly if the diagnosis is not made and treatment modalities chosen are ineffective. It is likely that inadequate management of acute pain may set the scene for progression to a chronic pain state. The underlying neurobiological mechanisms(More)
— As robots enter human environments, they will be expected to accomplish a tremendous range of tasks. It is not feasible for robot designers to pre-program these behaviors or know them in advance, so one way to address this is through end-user programming, such as learning from demonstration (LfD). While significant work has been done on the mechanics of(More)
We present a generalized technique for easily synthesizing facial expressions on robotic faces. In contrast to other work, our approach works in near real time with a high level of accuracy, does not require any manual labeling, is a fully open-source ROS module, and can enable the research community to perform objective and systematic comparisons between(More)
— Robots are expected to become a ubiquitous technology in the near future, where different people from a wide variety of backgrounds may have daily interactions with robots. These co-present humans will expect to be able to customize robot behavior to suit their preferences and needs through intuitive methods, such as learning from demonstration (LfD).(More)