FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1555030325> ?p ?o ?g. }

• W1555030325 abstract "Standing and walking are very important activities for daily living, so that their absence or any abnormality in their performance causes difficulties in doing regular task independently. Analysis of human motion has traditionally been accomplished by subjectively through visual observations. By combining advanced measurement technology and biomechanical modeling, the human gait is today objectively quantified in what is known as Gait analysis. Gait analysis research and development is an ongoing activity. New models and methods continue to evolve. Recently, humanoid robotics becomes widely developing world-wide technology and currently represents one of the main tools not only to investigate and study human gaits but also to acquire knowledge on how to assist paraplegic walking of patient (Acosta-M arquez and Bradley, 2000). Towards a better control of humanoid locomotion, much work can be found in the literature that has been focused on the dynamics of the robot using the Zero Moment Point (ZMP) approach (Vukobratovic and Borovac, 2004). More recently, biologically inspired control strategies such as Central Pattern Generators (CPG) have been proposed to generate autonomously adaptable rhythmic movement (Grillner, 1975, 1985; Taga, 1995; Taga et. al, 1991). Despite the extensive research focus in this area, suitable autonomous control system that can adapt and interact safely with the surrounding environment while delivering high robustness are yet to be discovered. In this chapter, we deal with the design of oscillatory neural network for bipedal motion pattern generator and locomotion controller. The learning part of the system will be built based on the combination of simplified models of the system with an extensive and efficient use of sensory feedback (sensor fusion) as the main engine to stabilize and adapt the system against parameters changes. All motions including reflexes will be generated by a neural network (NN) that represents the lower layer of the system. Indeed, we believe that the NN would be the most appropriate code when dealing, to a certain limit, with the system behavior, which can be described by a set of ordinary differential equations (ODEs) (Zaier and Nagashima, 2002, 2004). The neural network will be augmented by neural controllers with sensory connections to maintain the stability of the system. Hence, the proposed learning method is expected to be much faster than the conventional ones. To validate the theoretical results, we used the humanoid robot “HOAP-3” of Fujitsu. The structure of the chapter is as follows: the first section will present an introduction on the conventional CPG based locomotion control as well as the Van der Pol Based Oscillator;" @default.
• W1555030325 created "2016-06-24" @default.
• W1555030325 creator A5052053729 @default.
• W1555030325 date "2012-01-20" @default.
• W1555030325 modified "2023-09-30" @default.
• W1555030325 title "Design of Oscillatory Neural Network for Locomotion Control of Humanoid Robots" @default.
• W1555030325 cites W125666745 @default.
• W1555030325 cites W1526473519 @default.
• W1555030325 cites W1547294255 @default.
• W1555030325 cites W1905439276 @default.
• W1555030325 cites W1982508615 @default.
• W1555030325 cites W1987994242 @default.
• W1555030325 cites W201161842 @default.
• W1555030325 cites W2012233235 @default.
• W1555030325 cites W2033226680 @default.
• W1555030325 cites W2034114856 @default.
• W1555030325 cites W2037729465 @default.
• W1555030325 cites W2049230750 @default.
• W1555030325 cites W2050426505 @default.
• W1555030325 cites W2057952125 @default.
• W1555030325 cites W2088984699 @default.
• W1555030325 cites W2113173391 @default.
• W1555030325 cites W2123477693 @default.
• W1555030325 cites W2127940313 @default.
• W1555030325 cites W2261389156 @default.
• W1555030325 cites W2330723577 @default.
• W1555030325 cites W2912730243 @default.
• W1555030325 cites W44204917 @default.
• W1555030325 doi "https://doi.org/10.5772/25470" @default.
• W1555030325 hasPublicationYear "2012" @default.
• W1555030325 type Work @default.
• W1555030325 sameAs 1555030325 @default.
• W1555030325 citedByCount "1" @default.
• W1555030325 countsByYear W15550303252014 @default.
• W1555030325 crossrefType "book-chapter" @default.
• W1555030325 hasAuthorship W1555030325A5052053729 @default.
• W1555030325 hasBestOaLocation W15550303251 @default.
• W1555030325 hasConcept C127413603 @default.
• W1555030325 hasConcept C133731056 @default.
• W1555030325 hasConcept C154945302 @default.
• W1555030325 hasConcept C19966478 @default.
• W1555030325 hasConcept C2775924081 @default.
• W1555030325 hasConcept C41008148 @default.
• W1555030325 hasConcept C47446073 @default.
• W1555030325 hasConcept C50644808 @default.
• W1555030325 hasConcept C60692881 @default.
• W1555030325 hasConcept C6101204 @default.
• W1555030325 hasConcept C65401140 @default.
• W1555030325 hasConcept C90509273 @default.
• W1555030325 hasConceptScore W1555030325C127413603 @default.
• W1555030325 hasConceptScore W1555030325C133731056 @default.
• W1555030325 hasConceptScore W1555030325C154945302 @default.
• W1555030325 hasConceptScore W1555030325C19966478 @default.
• W1555030325 hasConceptScore W1555030325C2775924081 @default.
• W1555030325 hasConceptScore W1555030325C41008148 @default.
• W1555030325 hasConceptScore W1555030325C47446073 @default.
• W1555030325 hasConceptScore W1555030325C50644808 @default.
• W1555030325 hasConceptScore W1555030325C60692881 @default.
• W1555030325 hasConceptScore W1555030325C6101204 @default.
• W1555030325 hasConceptScore W1555030325C65401140 @default.
• W1555030325 hasConceptScore W1555030325C90509273 @default.
• W1555030325 hasLocation W15550303251 @default.
• W1555030325 hasLocation W15550303252 @default.
• W1555030325 hasOpenAccess W1555030325 @default.
• W1555030325 hasPrimaryLocation W15550303251 @default.
• W1555030325 hasRelatedWork W1823805402 @default.
• W1555030325 hasRelatedWork W2167080649 @default.
• W1555030325 hasRelatedWork W2171545542 @default.
• W1555030325 hasRelatedWork W2425829336 @default.
• W1555030325 hasRelatedWork W2506506076 @default.
• W1555030325 hasRelatedWork W2563940021 @default.
• W1555030325 hasRelatedWork W3015880599 @default.
• W1555030325 hasRelatedWork W4206269776 @default.
• W1555030325 hasRelatedWork W4294690701 @default.
• W1555030325 hasRelatedWork W4313064486 @default.
• W1555030325 isParatext "false" @default.
• W1555030325 isRetracted "false" @default.
• W1555030325 magId "1555030325" @default.
• W1555030325 workType "book-chapter" @default.