A dialogue approach to learning object descriptions and semantic categories-Reference-Cited by-同舟云学术

A dialogue approach to learning object descriptions and semantic categories

Published:2008-11 Issue:11 Volume:56 Page:1004-1013
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Holzapfel Hartwig,Neubig Daniel,Waibel Alex

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference32 articles.

1. T. Asfour, K. Regenstein, P. Azad, J. Schröder, A. Bierbaum, N. Vahrenkamp, R. Dillmann, Armar-III: An integrated humanoid platform for sensory-motor control, in: Proceedings of IEEE-RAS International Conference on Humanoid Robots, Genova, Italy, 2006

2. P. Azad, T. Asfour, R. Dillmann, Stereo-based 6d object localization for grasping with humanoid robot systems, in: Proceedings International Conference on Intelligent Robots and Systems, IROS, San Diego, USA, 2007

3. R. Becher, P. Steinhaus, R. Zöllner, R. Dillmann, Design and implementation of an interactive object modelling system, in: Proceedings of ISR 2006 and Robotik 2006, Düsseldorf, 2006

4. J. Carbonell, Towards a self-extending parser, in: Annual Meeting of the Association for Computational Linguistics, 1979

5. The Logic of Typed Feature Structures;Carpenter,1992

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multimodal Error Correction with Natural Language and Pointing Gestures;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. Proposal of Implicit Confirmation toward Lexical Acquisition during Dialogues;Transactions of the Japanese Society for Artificial Intelligence;2018

3. An interactive framework for learning user-object associations through human-robot interaction;Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments;2015-07

4. Learning Task Knowledge from Dialog and Web Access;Robotics;2015-06-17

5. Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality;2015 IEEE Winter Conference on Applications of Computer Vision;2015-01