At the Theater—Designing Robot Behavior in Conversations Based on Contemporary Colloquial Theatre Theory

2018 ◽  
pp. 441-454
Author(s):  
Kohei Ogawa ◽  
Takenobu Chikaraishi ◽  
Yuichiro Yoshikawa ◽  
Oriza Hirata ◽  
Hiroshi Ishiguro
Author(s):  
Kohei Ogawa ◽  
Takenobu Chikaraishi ◽  
Yuichiro Yoshikawa ◽  
Shogo Nishiguchi ◽  
Oriza Hirata ◽  
...  

2018 ◽  
Vol 62 (3) ◽  
pp. 304011-3040111 ◽  
Author(s):  
Shih-An Li ◽  
Hsuan-Ming Feng ◽  
Sheng-Po Huang ◽  
Chen-You Chu

2021 ◽  
Vol 10 (3) ◽  
pp. 1-31
Author(s):  
Zhao Han ◽  
Daniel Giger ◽  
Jordan Allspaw ◽  
Michael S. Lee ◽  
Henny Admoni ◽  
...  

As autonomous robots continue to be deployed near people, robots need to be able to explain their actions. In this article, we focus on organizing and representing complex tasks in a way that makes them readily explainable. Many actions consist of sub-actions, each of which may have several sub-actions of their own, and the robot must be able to represent these complex actions before it can explain them. To generate explanations for robot behavior, we propose using Behavior Trees (BTs), which are a powerful and rich tool for robot task specification and execution. However, for BTs to be used for robot explanations, their free-form, static structure must be adapted. In this work, we add structure to previously free-form BTs by framing them as a set of semantic sets {goal, subgoals, steps, actions} and subsequently build explanation generation algorithms that answer questions seeking causal information about robot behavior. We make BTs less static with an algorithm that inserts a subgoal that satisfies all dependencies. We evaluate our BTs for robot explanation generation in two domains: a kitting task to assemble a gearbox, and a taxi simulation. Code for the behavior trees (in XML) and all the algorithms is available at github.com/uml-robotics/robot-explanation-BTs.


Author(s):  
Anagha Kulkarni ◽  
Sarath Sreedharan ◽  
Sarah Keren ◽  
Tathagata Chakraborti ◽  
David E. Smith ◽  
...  
Keyword(s):  

1999 ◽  
Vol 40 (2) ◽  
pp. 43-70
Author(s):  
Klaus van den Berg

Since the 1980s, new approaches to theatre historiography, the study of what Sue-Ellen Case has called the “convergence of history and theory,” have begun to arise in a challenge to generally accepted principles of theatre history, such as the supremacy of independent facts, the autonomy of dramatic texts, and the hierarchy of text, performance, and culture. The French critic and philosopher Michel Foucault has pointed out that the grouping and ordering of events into historical periods creates a “space of reference,” which lends some events a heightened meaning, while obscuring or submerging others. In a substantial challenge to traditional methods of theatre history, historiographers influenced by this view have begun to examine the theoretical underpinnings of historical periodization. In theatre theory, Thomas Postlewait has investigated the often unarticulated assumptions by which theatre historians isolate a group of historical events and designate them with period names.Many scholars now center their attention on historical discontinuity: searching for ruptures in the historical narrative, focusing on dynamics which lend instability rather than stability to historical periods, and reconceptualizing temporal historical narratives into spatial relationships. For example, from a perspective of discontinuity, a play is conceived not simply as a fixed entity created at some moment in history, but as a representation of layers of historical influences; likewise, a theatre building is not simply a material location in space, but a physical expression of historically emergent architectural styles and sociopolitical circumstances, and a performance is not simply a translation of a text to the stage, but a collage of past and emergent cultural and aesthetic processes.


Author(s):  
Alyssa Kubota ◽  
Laurel D. Riek

An estimated 11% of adults report experiencing some form of cognitive decline, which may be associated with conditions such as stroke or dementia and can impact their memory, cognition, behavior, and physical abilities. While there are no known pharmacological treatments for many of these conditions, behavioral treatments such as cognitive training can prolong the independence of people with cognitive impairments. These treatments teach metacognitive strategies to compensate for memory difficulties in their everyday lives. Personalizing these treatments to suit the preferences and goals of an individual is critical to improving their engagement and sustainment, as well as maximizing the treatment's effectiveness. Robots have great potential to facilitate these training regimens and support people with cognitive impairments, their caregivers, and clinicians. This article examines how robots can adapt their behavior to be personalized to an individual in the context of cognitive neurorehabilitation. We provide an overview of existing robots being used to support neurorehabilitation and identify key principles for working in this space. We then examine state-of-the-art technical approaches for enabling longitudinal behavioral adaptation. To conclude, we discuss our recent work on enabling social robots to automatically adapt their behavior and explore open challenges for longitudinal behavior adaptation. This work will help guide the robotics community as it continues to provide more engaging, effective, and personalized interactions between people and robots. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


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