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Interactive museum tour-guide robot

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TLDR
It is argued that time is ripe for the development of AI-based commercial service robots that assist people in everyday life.
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This article is published in National Conference on Artificial Intelligence.The article was published on 1998-01-01 and is currently open access. It has received 40 citations till now. The article focuses on the topics: Robot.

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Citations
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Proceedings ArticleDOI

Where to look: a study of human-robot engagement

TL;DR: A study of human subjects with a robot designed to mimic human conversational gaze behavior in collaborative conversation offers some conclusions based on the study about the importance of engagement for 3D IUIs.
Proceedings ArticleDOI

Lessons from the lighthouse: collaboration in a shared mixed reality system

TL;DR: Findings have implications for non-museum settings, in particular how location awareness is a powerful resource for collaboration, and how 'hybrid objects' can support collaboration at-a-distance.

Interactive museum guide : fast and robust recognition of museum objects

TL;DR: It is demonstrated that both the object recognition performance as well as the speed of the SURF algorithm surpasses the results obtained with SIFT, its main contender.
Proceedings ArticleDOI

Do elderly people prefer a conversational humanoid as a shopping assistant partner in supermarkets

TL;DR: The effect of two design considerations for assistive robots in a partner metaphor: conversation and robot-type is investigated to find that elderly participants prefer a conversational humanoid as a shopping assistant partner.

Interacting Mobile Robots on the Web

TL;DR: Reference LSA-CONF-1999-001 Conference Web Site: http://www.cs.umn.edu/icra99/ Record created on 2006-12-07, modified on 2016-08-08 as discussed by the authors.
References
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Book

Neural networks for pattern recognition

TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
Book

Dynamic Programming

TL;DR: The more the authors study the information processing aspects of the mind, the more perplexed and impressed they become, and it will be a very long time before they understand these processes sufficiently to reproduce them.
Journal ArticleDOI

A robust layered control system for a mobile robot

TL;DR: In this paper, a new architecture for controlling mobile robots is described, which is made up of asynchronous modules that communicate over low-bandwidth channels, each module is an instance of a fairly simple computational machine.
Proceedings ArticleDOI

Combining labeled and unlabeled data with co-training

TL;DR: A PAC-style analysis is provided for a problem setting motivated by the task of learning to classify web pages, in which the description of each example can be partitioned into two distinct views, to allow inexpensive unlabeled data to augment, a much smaller set of labeled examples.
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