Multi-Modal Sensing and Robotic Manipulation of Non-Rigid Objects: A Survey
Autor: | Pierre Payeur, Angel J. Valencia, Felix Nadon |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Focus (computing) Control and Optimization Computer science lcsh:Mechanical engineering and machinery Mechanical Engineering multi-modal sensing deformation Measure (physics) modeling robotic manipulation 02 engineering and technology non-rigid objects Deformation (meteorology) Computer Science::Robotics 020901 industrial engineering & automation Robotic systems Modal Artificial Intelligence Human–computer interaction 0202 electrical engineering electronic engineering information engineering lcsh:TJ1-1570 020201 artificial intelligence & image processing control |
Zdroj: | Robotics, Vol 7, Iss 4, p 74 (2018) |
ISSN: | 2218-6581 |
DOI: | 10.3390/robotics7040074 |
Popis: | This paper aims to provide a comprehensive survey of recent advancements in modelling and autonomous manipulation of non-rigid objects. It first summarizes the recent advances in sensing and modelling of such objects with a focus on describing the methods and technologies used to measure their shape and estimate their material and physical properties. Formal representations considered to predict the deformation resulting from manipulation of non-rigid objects are then investigated. The third part provides a survey of planning and control strategies exploited to operate dexterous robotic systems while performing various tasks on objects made of different non-rigid materials. |
Databáze: | OpenAIRE |
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