paper-with-me

Papers

Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue

2017-10-17 · Claire Bonial, Matthew Marge, Ron artstein, Ashley Foots, Felix Gervits, Cory J. Hayes, Cassidy Henry, Susan G. Hill, Anton Leuski, Stephanie M. Lukin, Pooja Moolchandani, Kimberly A. Pollard, David Traum, Clare R. Voss

We describe the adaptation and refinement of a graphical user interface designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data. The data collected will be used to develop a dialogue system for robot navigation. Building on an interface previously used in the development of dialogue systems for virtual agents and video playback, we add templates with open parameters which allow the wizard to quickly produce a wide variety of utterances. Our research demonstrates that this approach to data collection is viable as an intermediate step in developing a dialogue system for physical robots in remote locations from their users - a domain in which the human and robot need to regularly verify and update a shared understanding of the physical environment. We show that our WoZ interface and the fixed set of utterances and templates therein provide for a natural pace of dialogue with good coverage of the navigation domain.

📄 PDF Abstract BibTeX arXiv:1710.06406

Code (1)

USArmyResearchLab/ARL-SCOUT

Tasks

Robot Navigation

Methods 이 논문이 사용한 방법론

Wizard Computer vision is an interesting tool for animal behavior monitoring, mainly because it limits animal handling and it can be used to record various traits using only one sensor.…

Similar Papers 제목 키워드 기반

Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia

2019-07-12 · Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra, Murtaza Taj

This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Brick-Kiln-Belt" of South Asia. The framew…

CAManim: Animating end-to-end network activation maps

2023-12-19 · Emily Kaczmarek, Olivier X. Miguel, Alexa C. Bowie, Robin Ducharme 외

Deep neural networks have been widely adopted in numerous domains due to their high performance and accessibility to developers and application-specific end-users. Fundamental to image-based applications is the developme…

Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)

BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization

2026-05-25 · Zhengyang Ni, Feng Yan, Yu Guo, Fei Wang arxiv

Generating physically buildable brick structures from 3D shapes requires more than geometric reconstruction: the output must also satisfy discrete part constraints and structural stability. Existing brick generation meth…

Point Clouds

An Improved Deep Convolutional Neural Network-Based Autonomous Road Inspection Scheme Using Unmanned Aerial Vehicles

2020-08-14 · Syed Ali Hassan, Tariq Rahim, Soo Young Shin

Advancements in artificial intelligence (AI) gives a great opportunity to develop an autonomous devices. The contribution of this work is an improved convolutional neural network (CNN) model and its implementation for th…

Autonomous NavigationLane Detection

Eye in the Sky: Detection and Compliance Monitoring of Brick Kilns using Satellite Imagery

2024-06-15 · Rishabh Mondal, Shataxi Dubey, Vannsh Jani, Shrimay Shah 외

Air pollution kills 7 million people annually. The brick manufacturing industry accounts for 8%-14% of air pollution in the densely populated Indo-Gangetic plain. Due to the unorganized nature of brick kilns, policy viol…