13 edition of Towards affordance-based robot control found in the catalog.
Includes bibliographical references and author index.
|Other titles||Affordance-based robot control|
|Statement||Erich Rome, Joachim Hertzberg, Georg Dorffner (eds.).|
|Series||Lecture notes in computer science -- 4760. -- Lecture notes in artificial intelligence, Lecture notes in computer science -- 4760., Lecture notes in computer science|
|Contributions||Rome, Erich., Hertzberg, J. 1958-, Dorffner, Georg, 1962-|
|LC Classifications||TJ211.35 .T686 2008|
|The Physical Object|
|Pagination||vii, 210 p. :|
|Number of Pages||210|
|LC Control Number||2008920268|
To afford or not to afford: A new formalization of affordances towards affordance-based robot control. Adaptive Behavior, Web of Science Google ScholarCited by: Decoupling Behavior, Perception, and Control for Autonomous Learning of Affordances Tucker Hermans James M. Rehg Aaron F. Bobick Abstract—A novel behavior representation is introduced that permits a robot to systematically explore the best methods by which to successfully execute an affordance-based behavior for a particular object.
To afford or not to afford: A new formalization of affordances towards affordance-based robot control., Erol Sahin, Maya Cakmak, Mehmet R. Dogar, Emre Ugur, and Gokturk Ucoluk, Adaptive Behavior (). web page ; Definitions - Descriptions - Insight; What Is an Affordance? By: Jones, Keith S. Towards Affordance-Based Robot Control: International Seminar, Dagstuhl Castle, Germany, June , 2; Silva Ultraminds Remote Viewing and Remote Influencing; Theology, Ideology and Liberation; Habeas Corpus and Martial Law: A Review of the Opinion of Chief Justice Taney, in the Case of John M; Het Groot Coach Boek.
(English) In: Towards affordance-based robot control / [ed] E. Rome, J. Hertzberg, G. Dorffner, Berlin: Springer, , Chapter in book (Other academic) Abstract [en] The concept of Ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology, combines insights fromthe fields of autonomous robotics and ambient intelligence to provide a new . Affordance-based imitation learning in robots Manuel Lopes and Francisco S. Melo and Luis Montesano Abstract—In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot has previously learned a task independent affordance-.
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From June 5 to June 9,the Dagstuhl Seminar ``Towards Affordance-Based Robot Control'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Towards Affordance-Based Robot Control International Seminar, Dagstuhl Castle, Germany, JuneRevised Papers. Towards Affordance-Based Robot Control International Seminar, Dagstuhl Castle, Germany, June, Revised Papers.
Editors: Rome, Erich, Hertzberg, Joachim. Towards Towards affordance-based robot control book Robot Control: International Seminar, Dagstuhl Castle, Germany, June, Revised Papers (Lecture Notes in Computer Science ()) [Rome, Erich] on *FREE* shipping on qualifying offers.
Towards Affordance-Based Robot Control: International Seminar, Dagstuhl Castle, Germany, JuneAuthor: Erich Rome. from book Towards Affordance-Based Robot Control: International Seminar, Dagstuhl Castle, Germany, JuneRevised Papers (pp). Towards affordance-based robot control: international seminar, Dagstuhl Castle, Germany, June; revised papers.
introduction to mobile robot control Download introduction to mobile robot control or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get introduction to mobile robot control book now.
This site is like a library, Use search box in the widget to get ebook that you want. To afford or not to afford: A new formalization of affordances towards affordance-based robot control Erol S¸ahin∗, Maya C¸akmak, Mehmet R.
Dog˘ar, Emre Ug˘ur and Go¨ktu¨rk Uc¸oluk¨ KOVAN Research Lab., Dept. of Computer Engineering, Middle East Technical University, ˙Ino¨nu¨ Bulvarı, Ankara,Turkey Published in Adaptive File Size: 1MB.
Tsuji, T., Tanaka, Y.: Tracking control properties of human-robotic systems based on impedance control. IEEE Transactions on Systems, Man, and Cybernetics, Part A 35(4), – () CrossRef Google ScholarCited by: The aim is to develop affordance-based control as a method for robotics.
The potential of this new methodology will be shown by going beyond navigation-like tasks towards goaldirected autonomous manipulation in the project demonstrators.
Home Browse by Title Proceedings Proceedings of the international conference on Towards affordance-based robot control Affordance-based human-robot interaction. ARTICLE. Affordance-based human-robot interaction. Share on. Authors: Reinhard Moratz.
Transregional Collaborative Research Center "Spatial Cognition", University of Bremen. An Affordance-Based Pilot Interface for High-Level Control of Humanoid Robots in Supervised Autonomy In this work we present the concept of a pilot interface to control a humanoid robot on an.
Towards Affordance-based Robot Control - Abstracts Collection of the Dagstuhl Seminar In: Online proceedings of Dagstuhl Seminar ->Paper. Back to top Posters (accompanied by articles in proceedings) Paletta, L.
and Fritz, G. Reinforcement Learning for the Selection of Predictive Cues in Affordance-based Perception. control. We developed an affordance-based pilot interface, that potentially reduces the amount of teleoperation needed for the conduction of a humanoid robot in real-world ap-plications.
It also attempts to reduce the amount of prior, environmental knowledge necessary for the operation of a humanoid robot. The interface has been evaluated on the. Towards Affordance-Based Robot Control: International Seminar, Dagstuhl Castle, Germany, June, Revised Papers Today's mobile Robot perception is insu?cient for acting goal-directedly in - constrained, dynamic everyday environments like a home, a factory, or a city.
affordance based process. Attention (bottom) might act (arrows) on several functional components. support the proposed hypothesis on the relevance of generalized features that must be learned for successful affordance-like perception in robot control systems.
Section VI concludes with an outlook on future work. Affordance Perception and. This book covers the most attractive problem in robot control, dealing with the direct interaction between a robot and a dynamic environment, including the human-robot physical interaction.
New Hands, New Life: Robots, Prostheses and Innovation. Rome E, Paletta L, Şahin E, Dorffner G, Hertzberg J, Breithaupt R, Fritz G, Irran J, Kintzler F, Lörken C, May S and Uğur E The MACS project Proceedings of the international conference on Towards affordance-based robot control, ().
Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. 1 Towards Affordance-Based Robot Control: International Seminar, Dagstuhl Castle, Germany, June An Affordance-Based Pilot Interface for High-Level Control of Humanoid Robots in Supervised Autonomy Peter Kaiser 1, Dimitrios Kanoulas 2, Markus Grotz, Luca Muratore;3, Alessio Rocchi 2, Enrico Mingo Hoffman 2, Nikos G.
Tsagarakis and Tamim Asfour 1 Abstract In this work we present the concept of a pilot. In summary, the robot learns an affordance ontology A = fT ;Mg, where T is the hierarchical taxonomy of outcomes induced by the robot’s behaviors B, and M is the set of pre-dictive models contained in the non-leaf nodes of T.
Experiments and Results Experiment 1: In the rst experiment, the robot conducts trials with the L-Stick.the humanoid robot Cog, Brooks et al. () emphasize the need to consider bodily form when building representation and reasoning systems to control robots. In beha-vior-based robotics, Matarić (, ) emphasizes the learning aspect of behavior selection, and notes that this amounts to learning the preconditions for a behavior.
In.The Harvard RoboBee is a controlled flapping-wing vehicle which can generate lift force and body torques based on different flapping schemes. One of the challenges in the controller design is that the center of pressure (CoP) of aerodynamic drag is not collocated with the center of mass of the vehicle, which creates additional nonlinear coupling between translational and angular velocities.