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Thinking head: Towards human centred robotics

D. C. Herath, Christian Kroos, Catherine J. Stevens, Lawrence Cavedon, Prashan Premaratne
2010 2010 11th International Conference on Control Automation Robotics & Vision  
Thinking Head project is a multidisciplinary approach to building intelligent agents for human machine interaction.  ...  The Thinking Head Framework evolved out of the Thinking Head Project and it facilitates loose coupling between various components and forms the central nerve system in a multimodal perception-action system  ...  Also the authors would like to thank Stelarc for insightful discussions with him, his artistic interpretations and most of all providing the impetus for the project through his prosthetic head (thanks  ... 
doi:10.1109/icarcv.2010.5707899 dblp:conf/icarcv/HerathKSCP10 fatcat:dcrfpqztebf57jz7lpfbpxq6m4

Towards a unified theory of spoken language processing

R.K. Moore
2005 Fourth IEEE Conference on Cognitive Informatics, 2005. (ICCI 2005).  
This paper discusses these issues, and presents an argument in favour of the derivation of a 'unifying theory' that would be capable of explaining and predicting both human and machine spoken language  ...  At the same time, computational models of human spoken language processing have begun to emerge but, although this has given rise to a greater interest in the relationship between human and machine behaviour  ...  a greater interest in integration, and in the relationship between human and machine behaviour.  ... 
doi:10.1109/coginf.2005.1532629 dblp:conf/IEEEicci/Moore05 fatcat:vdaajyvu4jc4poublmqwmo5nnq

Abductive learning: towards bridging machine learning and logical reasoning

Zhi-Hua Zhou
2019 Science China Information Sciences  
Considering that modern machine learning is also a kind of induction, it is interesting to leverage induction and abduction in a mutually beneficial way in a unified framework.  ...  Developing a unified framework which accommodates and enables machine learning and logical reasoning to work together has been deemed as the holy grail challenge for the artificial intelligence community  ... 
doi:10.1007/s11432-018-9801-4 fatcat:ae6rri4oybhtvno52abju6loda

Multi-agent systems: Selected reading

I&S Monitor
2002 Information & Security An International Journal  
 Executing Decision-theoretic Plans in Multi-agent Environments  Unified Information and Control Flow in Hierarchical Task Networks  How Does an Agent Learn to Negotiate  Multi-Agent Integration of  ...   Agent-Based Team Aiding in a Time Critical Task  Interleaving Planning and Execution in a Multiagent Team Planning Environment  Agent-based aiding for individual and team planning tasks  Evolution  ... 
doi:10.11610/isij.0807 fatcat:ehdj4jiesfa4bosajcvgw6n2pe

Data fusion methods in multimodal human computer dialog

Ming-Hao YANG, Jian-Hua TAO
2019 Virtual Reality & Intelligent Hardware  
the Human Brain SCIENCE CHINA Information Sciences Kernel semi-supervised graph embedding model for multimodal and mixmodal data SCIENCE CHINA Information Sciences Integrated optimization methods in multisensor  ...  We first introduce the cognitive assumption of single channel processing, and then discuss its implementation methods in human computer dialog; for the task of multi-modal information fusion, serval computing  ...  A type of conversational humanoid robot, which can engage in both task-oriented dialogues and non-task-oriented dialog for accurately understanding human requests or non-task-oriented dialogues to allow  ... 
doi:10.3724/sp.j.2096-5796.2018.0010 dblp:journals/vrih/YangT19 fatcat:jltufn3o6fd4pjzv4pnqd6wmvy

Building a Conversational Agent based on the principles of Cognitive Pragmatics using Cognitive Architecture

Asst. Prof. G. Gnaneswari, Dr. Vijayakumar
2017 International Journal of Engineering Research and  
Speech recognition, natural language processing and cognitive architecture all play a vital role in building a conversational agent.  ...  Conversational agents which use computational linguistics techniques faces some technical challenges such accuracy and efficiency. (1) two basic challenges in building a conversational agent are understanding  ...  In this theorem, cognitive capabilities like stimulus and response (perception); memory and learning; problem solving; and language capabilities are unified.  ... 
doi:10.17577/ijertv6is020093 fatcat:3nwoyo44vrf2bmwbapnr55qaqa

Social Production System: A Three-layer Smart Framework for Implementing Autonomous Human-machine Collaborations in A Shop Floor

Haoliang Shi, Maolin Yang, Pingyu Jiang
2021 IEEE Access  
The unified knowledge repository's overall construction method based on the knowledge graph is elaborated to provide task-resource-associated heterogeneous production data sharing and management for human-machine  ...  Furthermore, to validate the proposed Social-PS framework, a software and hardware integrated prototype system is implemented to demonstrate the knowledgedriven human-machine collaboration of the production  ...  Their integration can provide the basis of interconnection and interaction for human-machine collaboration.  ... 
doi:10.1109/access.2021.3050236 fatcat:aowgttz22vakbgmiud6pkwbzwq

Towards human-like and transhuman perception in AI 2.0: a review

Yong-hong Tian, Xi-lin Chen, Hong-kai Xiong, Hong-liang Li, Li-rong Dai, Jing Chen, Jun-liang Xing, Jing Chen, Xi-hong Wu, Wei-min Hu, Yu Hu, Tie-jun Huang (+1 others)
2017 Frontiers of Information Technology & Electronic Engineering  
On this basis, we envision several R&D trends in intelligent perception for the forthcoming era of AI 2.0, including: (1) human-like and transhuman active vision; (2) auditory perception and computation  ...  in an actual auditory setting; (3) speech perception and computation in a natural interaction setting; (4) autonomous learning of perceptual information; (5) large-scale perceptual information processing  ...  Auditory perception and computation Auditory perception is a central pathway for information interaction in human beings.  ... 
doi:10.1631/fitee.1601804 fatcat:rvcb4nvcr5borbhissvbevyce4

Requirements and Building Blocks for Sociable Embodied Agents [chapter]

Stefan Kopp, Kirsten Bergmann, Hendrik Buschmeier, Amir Sadeghipour
2009 Lecture Notes in Computer Science  
We argue that this requires them to be capable of flexible multimodal expressiveness, incremental perception of other's behaviors, and the integration and interaction of these models in unified sensorimotor  ...  We present work on probabilistic models for these three requirements with a focus on gestural behavior.  ...  Acknowledgements This research is supported by the Deutsche Forschungsgemeinschaft (DFG) in the Collaborative Research Center 673 "Alignment in Communication" and the Center of Excellence in "Cognitive  ... 
doi:10.1007/978-3-642-04617-9_64 fatcat:abo66kygfbfbbp4ceaeav3equm

Future directions in speech information processing

Sadaoki Furui
1998 Journal of the Acoustical Society of America  
The lat[er hdf of the paper fwuses on speech recognition problems, Unified approach over spewh recognition, syn[hesis and coding, and research about the human brain are crucial for the future development  ...  It describes the mos( important research problems, and tries to foreeas[ where progress will be made in the near future and what applications will become commonplace as a result of the increased capabi  ...  Adaptation of linguistic models according to tasks and topics [6] is dso a very important issue, since collecting a large linguistic database for every new task is difficult and costiy.  ... 
doi:10.1121/1.422797 fatcat:dhwtaw3ghnah5c562vsyzqe3bu

A test for consciousness

Christof Koch, Giulio Tononi
2011 Scientific American  
Understanding the attributes of a sentient machine will allow humans not only to understand the workings of our own brains but to prepare for that day, envisaged in science fic-tion, when we must learn  ...  To judge that this image is incorrect, a machine would need to be conscious of many things about the world (unless programmed for just such a photograph).  ...  To the extent that a particular task can be singled out and characterized in isolation from other tasks, it can be taken over by machines.  ... 
pmid:21608402 fatcat:xpcm5wlcsjcjtmmyqcyczkk2tq

Using Cognitive Semantics to Integrate Perception and Motion in a Behavior-Based Robot

D. Paul Benjamin, Deryle Lonsdale, Damian Lyons, Siddtharth Patel
2008 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (LAB-RS)  
The ADAPT project is a collaboration of three universities building a unified architecture for mobile robots.  ...  The goal of this project is to endow robots with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to solve complex problems.  ...  , and for the integration of perception and problem solving. 2: Background A truly cognitive architecture has not yet been implemented in robotics.  ... 
doi:10.1109/lab-rs.2008.14 fatcat:ahn6fdiotne7jh4ok2mvdwn3bu

Knowledge-based system integration in a concurrent engineering environment [chapter]

M. Sobolewski
1993 Lecture Notes in Computer Science  
for a CE environment.  ...  The systematic integration of humans with the tools, resources, and information assets of an organization is fundamental to concurrent engineering (CE).  ...  In this case, language primitives of surface sentences and percept formulas are the same, i.e., a subject of a sentence and its complements, which allow the conversion of natural sentences into percept  ... 
doi:10.1007/3-540-56804-2_56 fatcat:m6hlg2zxmzaz7exw3ncvqlfe4u

Intelligent Robotic Perception Systems [chapter]

Cristiano Premebida, Rares Ambrus, Zoltan-Csaba Marton
2018 Applications of Mobile Robots [Working Title]  
The recent developments in machine learning, namely deep-learning approaches, are evident and, consequently, robotic perception systems are evolving in a way that new applications and tasks are becoming  ...  Robotic perception is related to many applications in robotics where sensory data and artificial intelligence/machine learning (AI/ML) techniques are involved.  ...  Artificial intelligence and machine learning applied on robotics perception Once a robot is (self) localized, it can proceed with the execution of its task.  ... 
doi:10.5772/intechopen.79742 fatcat:zrvsznb3frcthl3pfy7r54kire

Using a 3D World to Address Perceptual Issues in Human-robot Coordination

D. Paul Benjamin, Damian M. Lyons
2015 Procedia Manufacturing  
There is a growing body of evidence that human perception is "active", in the sense that it is largely goal-oriented and top-down.  ...  We are building a robot cognitive architecture that is based on a unified cognitive architecture -Soar -and that uses active perception and simulation in planning.  ...  Acknowledgements This work is based in part on earlier work done in collaboration with Deryle Lonsdale of Brigham Young University and Siddtharth Patel of Pace University.  ... 
doi:10.1016/j.promfg.2015.07.165 fatcat:tmu2ahneorharivadr7hwiitm4
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