Results 171 to 180 of about 234 (196)
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
Advanced Robotics Research, EarlyView.This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
Advanced Robotics Research, EarlyView.This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
Advanced Robotics Research, EarlyView.This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
MULTI-DOCUMENT SUMMARIZATION Using NEURAL NETWORK
INTERNATIONAL JOURNAL OF COMPUTER APPLICATION, 2018 openaire +1 more source
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Abstractive multi-document summarization
2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017Abstractive multi-document summarization aims at generating new sentences whose elements originate from different source sentence. It can be achieved via phrase selection and merging approach which aims at constructing new sentences by exploring syntactic units such as fine-grained noun and verb phrase.
N. S. Ranjitha, Jagadish S Kallimani
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2017
In this study, we address the multi-document summarization challenge. We proposed a summarizer application that implements three well-known multi-document summarization techniques; Topic-word summarizer, LexPageRank summarizer and Centroid summarizer. The contribution in this study is demonstrated by proposing a fourth summarization technique that is ...
Hazem Bakkar +2 more
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In this study, we address the multi-document summarization challenge. We proposed a summarizer application that implements three well-known multi-document summarization techniques; Topic-word summarizer, LexPageRank summarizer and Centroid summarizer. The contribution in this study is demonstrated by proposing a fourth summarization technique that is ...
Hazem Bakkar +2 more
openaire +1 more source
Topic-Driven Multi-document Summarization
2010 International Conference on Asian Language Processing, 2010This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary’s probability distribution over the topics should be consistent with the multi-documents’ probability distribution over the inherent topics. Here, the topics are
Hongling Wang, Guodong Zhou
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Multi-document summarization via submodularity
Applied Intelligence, 2012Multi-document summarization is becoming an important issue in the Information Retrieval community. It aims to distill the most important information from a set of documents to generate a compressed summary. Given a set of documents as input, most of existing multi-document summarization approaches utilize different sentence selection techniques to ...
Jingxuan Li, Lei Li, Tao Li
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Multi-document summarization systems comparison
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012This paper compared two multi-document summarization systems we developed. One system used hierarchical sentence clustering algorithm to find the important information, while the other system mainly adopted hierarchical Latent Dirichlet Allocation (hLDA) topic model to obtain the sub-topics of multi-document data.
Lei Li, Wei Heng, Ping'an Liu
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