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Mapping between dif...
Mapping between different kinematic structures without absolute positioning during operation
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- Berglund, Erik (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MRO;Centre for Applied Autonomous Sensor Systems ( AASS )
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- Iliev, Boyko (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MROMRO;Centre for Applied Autonomous Sensor Systems ( AASS )
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- Palm, Rainer (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MRO; Centre for Applied Autonomous Sensor Systems ( AASS )
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- Krug, Robert (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MRO; Centre for Applied Autonomous Sensor Systems ( AASS )
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- Charusta, Krzysztof (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MRO; Centre for Applied Autonomous Sensor Systems ( AASS )
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- Dimitrov, Dimitar (author)
- Örebro universitet,Institutionen för naturvetenskap och teknik,MRO; Centre for Applied Autonomous Sensor Systems ( AASS )
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(creator_code:org_t)
- Institution of Engineering and Technology (IET), 2012
- 2012
- English.
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In: Electronics Letters. - : Institution of Engineering and Technology (IET). - 0013-5194 .- 1350-911X. ; 48:18, s. 1110-1112
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- When creating datasets for modelling of human skills based on training examples from human motion, one can encounter the problem that the kinematics of the robot does not match the human kinematics. Presented is a simple method of bypassing the explicit modelling of the human kinematics based on a variant of the self-organising map (SOM) algorithm. While the literature contains instances of SOM-type algorithms used for dimension reduction, this reported work deals with the inverse problem: dimension increase, as we are going from 4 to 5 degrees of freedom.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- robot kinematics
- self-organising feature maps
- SOM-type algorithms
- human kinematics
- human motion
- human skills modelling
- kinematic structures
- robot kinematics
- self-organising map algorithm
- training examples
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- art (subject category)
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