Articles liés à Wearable Technology for Robotic Manipulation and Learning
Synopsis
Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans’ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics.
This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Bin Fang is an Assistant Researcher at the Department of Computer Science and Technology, Tsinghua University. His main research interests include wearable devices and human-robot interaction. He is a leader guest editor for a number of journals, including Frontiers in Neurorobotics, and Frontiers in Robotics and AI, and has served as an associate editor for various journals and conferences, e.g. the International Journal of Advanced Robotic Systems, and the IEEE International Conference on Advanced Robotics and Mechatronics.
Fuchun Sun is a Full Professor at the Department of Computer Science and Technology, Tsinghua University. A recipient of the National Science Fund for Distinguished Young Scholars, his main research interests include intelligent control and robotics. He serves as an associate editor for a number of international journals, including IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, and Mechatronics, Robotics and Autonomous Systems.
Huaping Liu is an Associate Professor at the Department of Computer Science and Technology, Tsinghua University. His main research interests include robotic perception and learning. He serves as an associate editor for various journals, including IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE Robotics & Automation Letters, Neurocomputing, and Cognitive Computation.
Chunfang Liu is an Assistant Professor at the Department of Artificial Intelligence and Automation, Beijing University of Technology. Her research interests include intelligent robotics and vision.
Di Guo received her Ph.D. degree from the Department of Computer Science and Technology, Tsinghua University, Beijing, in 2017. Her research interests include robotic manipulation and sensor fusion.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 136,16
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Wearable Technology for Robotic Manipulation and Learning
Image fournie par le vendeur
Wearable Technology for Robotic Manipulation and Learning
Edité par
Springer Nature Singapore, 2021
ISBN 10 : 981155126X
ISBN 13 : 9789811551260
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a systematic and comprehensive introduction to robotic imitation learningIntroduces demonstration-learning-based solutions for robotic manipulationShowcase the applications of wearable devices in robotic learning. N° de réf. du vendeur 508579361
Quantité disponible : Plus de 20 disponibles
Image d'archives
Wearable Technology for Robotic Manipulation and Learning
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9789811551260_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Wearable Technology for Robotic Manipulation and Learning
Edité par
Springer Nature Singapore Okt 2021, 2021
ISBN 10 : 981155126X
ISBN 13 : 9789811551260
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans' intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning. 232 pp. Englisch. N° de réf. du vendeur 9789811551260
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Wearable Technology for Robotic Manipulation and Learning
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10 : 981155126X
ISBN 13 : 9789811551260
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans' intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics. This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning. N° de réf. du vendeur 9789811551260
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Wearable Technology for Robotic Manipulation and Learning
Edité par
Springer Nature Singapore, Springer Nature Singapore Okt 2021, 2021
ISBN 10 : 981155126X
ISBN 13 : 9789811551260
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Over the next few decades, millions of people, with varying backgrounds and levels of technical expertise, will have to effectively interact with robotic technologies on a daily basis. This means it will have to be possible to modify robot behavior without explicitly writing code, but instead via a small number of wearable devices or visual demonstrations. At the same time, robots will need to infer and predict humans¿ intentions and internal objectives on the basis of past interactions in order to provide assistance before it is explicitly requested; this is the basis of imitation learning for robotics.This book introduces readers to robotic imitation learning based on human demonstration with wearable devices. It presents an advanced calibration method for wearable sensors and fusion approaches under the Kalman filter framework, as well as a novel wearable device for capturing gestures and other motions. Furthermore it describes the wearable-device-based and vision-based imitation learning method for robotic manipulation, making it a valuable reference guide for graduate students with a basic knowledge of machine learning, and for researchers interested in wearable computing and robotic learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. N° de réf. du vendeur 9789811551260
Quantité disponible : 2 disponible(s)
Image d'archives
Wearable Technology for Robotic Manipulation and Learning
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st ed. 2020 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26390239202
Quantité disponible : 4 disponible(s)
Image d'archives
Wearable Technology for Robotic Manipulation and Learning
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur 389360701
Quantité disponible : 4 disponible(s)
Image d'archives
Wearable Technology for Robotic Manipulation and Learning
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18390239208
Quantité disponible : 4 disponible(s)
Image d'archives
Wearable Technology for Robotic Manipulation and Learning
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur ABLIING23Apr0412070089291
Quantité disponible : Plus de 20 disponibles