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108
Teamwork with Limited Knowledge of Teammates
"... While great strides have been made in multiagent teamwork, existing approaches typically assume extensive information exists about teammates and how to coordinate actions. This paper addresses how robust teamwork can still be created even if limited or no information exists about a specific group of ..."
Abstract
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Cited by 7 (4 self)
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While great strides have been made in multiagent teamwork, existing approaches typically assume extensive information exists about teammates and how to coordinate actions. This paper addresses how robust teamwork can still be created even if limited or no information exists about a specific group
Teaching and Leading an Ad Hoc Teammate: Collaboration without Pre-Coordination
, 2013
"... As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously unfamiliar teammates. In such ad hoc team settings, team strategies cannot be developed a priori. Rather, an agent must b ..."
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Cited by 5 (2 self)
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be prepared to cooperate with many types of teammates: it must collaborate without pre-coordination. This article defines two aspects of collaboration in two-player teams, involving either simultaneous or sequential decision making. In both cases, the ad hoc agent is more knowledgeable of the environment
Teammate Inaccuracy Blindness: When Information Sharing Tools Hinder Collaborative Analysis
"... ABSTRACT Asynchronous collaborative analysis is important in many fields, but information sharing can be a bottleneck. Tools for annotating, organizing, and summarizing information can help, but their value will likely depend on the accuracy of teammates' information. To document this claim, t ..."
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ABSTRACT Asynchronous collaborative analysis is important in many fields, but information sharing can be a bottleneck. Tools for annotating, organizing, and summarizing information can help, but their value will likely depend on the accuracy of teammates' information. To document this claim
Leading a Best-Response Teammate in an Ad Hoc Team
, 2009
"... Abstract. Teams of agents may not always be developed in a planned, coordinated fashion. Rather, as deployed agents become more common in e-commerce and other settings, there are increasing opportunities for previously unacquainted agents to cooperate in ad hoc team settings. In such scenarios, it i ..."
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Cited by 11 (4 self)
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, it is useful for individual agents to be able to collaborate with a wide variety of possible teammates under the philosophy that not all agents are fully rational. This paper considers an agent that is to interact repeatedly with a teammate that will adapt to this interaction in a particular suboptimal
Conversation Pattern-based Anticipation of Teammates' Information Needs via Overhearing
"... One research focus of human-centered teamwork is on advanced decision architectures that can help people make effective and timely decisions. This requires distributed team members to effectively establish shared situation awareness and to collaboratively develop explanations on how an unfamiliar si ..."
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Cited by 2 (1 self)
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One research focus of human-centered teamwork is on advanced decision architectures that can help people make effective and timely decisions. This requires distributed team members to effectively establish shared situation awareness and to collaboratively develop explanations on how an unfamiliar
Enhancing Robot Perception Using Human Teammates * (Extended Abstract)
"... ABSTRACT In robotics research, perception is one of the most challenging tasks. In contrast to existing approaches that rely only on computer vision, we propose an alternative method for improving perception by learning from human teammates. To evaluate, we apply this idea to a door detection probl ..."
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completely different direction. Our approach utilizes a team setting where a robot collaborates with human teammates. Motivated by the fact that humans possess superior perception skills relative to their robotic counterparts, we investigate how a robot can take advantage of its teammate's perfect
Achieving Fluency through Practice in Human-Robot Collaboration: Effects on Efficiency, Fluency, and Attitude toward Robotic Teammates
"... We have developed a cognitive architecture for a robotic teammate based on the neuro-psychological principles of perceptual symbols and simulation, with the aim of attaining increased fluency in human-robot teams. An instantiation of this architecture was implemented on a robotic desk lamp, perfor ..."
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We have developed a cognitive architecture for a robotic teammate based on the neuro-psychological principles of perceptual symbols and simulation, with the aim of attaining increased fluency in human-robot teams. An instantiation of this architecture was implemented on a robotic desk lamp
CAST: Collaborative Agents for Simulating Teamwork
- In Proceedings of IJCAI’2001
, 2001
"... Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models for teamwork are limited in their ability to support proactive information exchange among teammates. To address this iss ..."
Abstract
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Cited by 94 (41 self)
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Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models for teamwork are limited in their ability to support proactive information exchange among teammates. To address
Teaching and working with robots as a collaboration
, 2004
"... New applications for autonomous robots bring them into the human environment where they are to serve as helpful assistants to untrained users in the home or office, or work as capable members of human-robot teams for security, mil-itary, and space efforts. These applications require robots to be abl ..."
Abstract
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Cited by 74 (9 self)
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to be able to quickly learn how to perform new tasks from natural human instruction, and to perform tasks collabora-tively with human teammates. Using joint intention theory as our theoretical frame-work, our approach integrates learning and collaboration through a goal based task structure. Specifically, we
Ad hoc autonomous agent teams: Collaboration without pre-coordination
- In Proc. of the 24th AAAI Conf. on Artificial Intelligence
, 2010
"... As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously unfamiliar teammates. In such ad hoc team settings, team strategies cannot be developed a priori. Rather, an agent must b ..."
Abstract
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Cited by 48 (20 self)
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be prepared to cooperate with many types of teammates: it must collaborate without pre-coordination. This paper challenges the AI community to develop theory and to implement prototypes of ad hoc team agents. It defines the concept of ad hoc team agents, specifies an evaluation paradigm, and provides examples
Results 1 - 10
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108
