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Sebastian Sardiña, Y. Lespérance, H. Levesque (2004)
On ability to autonomously execute agent programs with sensingProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.
H. Levesque, R. Reiter, Y. Lespérance, Fangzhen Lin, R. Scherl (1997)
GOLOG: A Logic Programming Language for Dynamic DomainsJ. Log. Program., 31
M. Beetz, M. Buss, D. Wollherr (2007)
Cognitive Technical Systems - What Is the Role of Artificial Intelligence?
J. McCarthy (1963)
Situations, Actions, and Causal Laws
M. Covington, D. Nute, A. Vellino
Prolog Programming in Depth
A. Lambert (2003)
Disassembly sequencing: A surveyInternational Journal of Production Research, 41
U. Berger, A. Schmidt (1995)
Active vision system for planning and programming of industrial robots in one-of-a-kind manufacturing, 2588
S. Vongbunyong, S. Kara, M. Pagnucco
Detection of main components of LCD screens using vision and depth camera for automated disassembly process
F. Torres, Pablo Gil, S. Puente, J. Pomares, Rafael Aracil (2004)
Automatic PC disassembly for component recoveryThe International Journal of Advanced Manufacturing Technology, 23
Askiner Gungor, S. Gupta (1998)
Disassembly sequence planning for products with defective parts in product recovery, 35
F. Torres, S. Puente, Carolina Díaz (2009)
Automatic cooperative disassembly robotic system: Task planner to distribute tasks among robotsControl Engineering Practice, 17
U. Buker, S. Drue, N. Gotze, G. Hartmann, B. Kalkreuter, R. Stemmer, R. Trapp (1999)
An active object recognition system for disassembly tasks1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467), 1
M. Tonko, H. Nagel (2000)
Model-Based Stereo-Tracking of Non-Polyhedral Objects for Automatic Disassembly ExperimentsInternational Journal of Computer Vision, 37
S. Kara, P. Pornprasitpol, H. Kaebernick (2005)
A selective disassembly methodology for end‐of‐life productsAssembly Automation, 25
A.J.D. Lambert, M. Gupta
Disassembly Modeling for Assembly, Maintenance, Reuse, and Recycling
M. Gao, Mengchu Zhou, Ying Tang (2004)
Intelligent decision making in disassembly process based on fuzzy reasoning Petri netsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 34
N. Salomonski, E. Zussman (1999)
On-line predictive model for disassembly process planning adaptation
A. Bannat, Thibault Bautze, M. Beetz, J. Blume, K. Diepold, Christoph Ertelt, F. Geiger, Thomas Gmeiner, T. Gyger, A. Knoll, Christian Lau, Claus Lenz, M. Ostgathe, G. Reinhart, W. Rösel, T. Rühr, A. Schubö, K. Shea, Ingo Stork, Sonja Stork, W. Tekouo, F. Wallhoff, Mathey Wiesbeck, M. Zäh (2011)
Artificial Cognition in Production SystemsIEEE Transactions on Automation Science and Engineering, 8
C. Fernández, Ó. Reinoso, M. Vicente, R. Aracil (2006)
Part grasping for automated disassemblyThe International Journal of Advanced Manufacturing Technology, 30
H.S. Mok, H.J. Kim, K.S. Moon
Disassemblability of mechanical parts in automobiles for recycling
Paul Viola, Michael Jones (2001)
Rapid object detection using a boosted cascade of simple featuresProceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 1
G. De Giacomo, Y. Lespérance, H.J. Levesque, R. Reiter
IndiGolog‐OAA Interface Documentation
R. Knoth, M. Brandstotter, B. Kopacek, P. Kopacek (2002)
Automated disassembly of electr(on)ic equipmentConference Record 2002 IEEE International Symposium on Electronics and the Environment (Cat. No.02CH37273)
M. Kuren (2006)
Flexible robotic demanufacturing using real time tool path generationRobotics and Computer-integrated Manufacturing, 22
J. Duflou, G. Seliger, S. Kara, Y. Umeda, A. Ometto, B. Willems (2008)
Efficiency and feasibility of product disassembly: A case-based studyCirp Annals-manufacturing Technology, 57
Giuseppe Giacomo, R. Reiter, M. Soutchanski (1998)
Execution Monitoring of High-Level Robot Programs
F. Chang, Chun-Jen Chen, Chi-Jen Lu (2004)
A linear-time component-labeling algorithm using contour tracing techniqueComput. Vis. Image Underst., 93
H. Kim, S. Chiotellis, G. Seliger (2009)
Dynamic process planning control of hybrid disassembly systemsThe International Journal of Advanced Manufacturing Technology, 40
R. Reiter
Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems
U. Büker, S. Drüe, Nicolai Götze, G. Hartmann, B. Kalkreuter, R. Stemmer, R. Trapp (2001)
Vision-based control of an autonomous disassembly stationRobotics Auton. Syst., 35
H. Mok, Hyun-Kyo Chung, Ju-Hyung Park (1997)
Disassemblability of Mechanical Parts in Automobile for Recycling of MaterialsJournal of the Korean Society for Precision Engineering, 13
Stefan Edelkamp (2007)
Automated Planning: Theory and PracticeKünstliche Intell., 21
C. Franke, S. Kernbaum, G. Seliger (2006)
Remanufacturing of flat screen monitors
M. Merdan, Wilfried Lepuschitz, T. Meurer, M. Vincze (2010)
Towards ontology-based automated disassembly systemsIECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
P. Gil, J. Pomares, S. Puente, Carolina Díaz, F. Candelas, F. Torres (2007)
Flexible multi-sensorial system for automatic disassembly using cooperative robotsInternational Journal of Computer Integrated Manufacturing, 20
R.A. Moreno
Cognitive Robotics
Purpose – The purpose of this paper is to develop an automated disassembly cell that is flexible and robust to the physical variations of a product. In this way it is capable of dealing with any model of product, regardless of the level of detail in the supplied information. Design/methodology/approach – The concept of cognitive robotics is used to replicate human level expertise in terms of perception and decision making. As a result, difficulties with respect to the uncertainties and variations of the product in the disassembly process are resolved. Findings – Cognitive functions, namely reasoning and execution monitoring, can be used in basic behaviour control to address problems in variations of the disassembly process due to variations in the product's structure particularly across different models of the product. Research limitations/implications – The paper provides a practical approach to formulating the disassembly domain and behaviour control of the cognitive robotic agent via a high‐level logical programming language that combines domain‐specific heuristic knowledge with search to deal with variations in products and uncertainties that arise during the disassembly process. Practical implications – Full disassembly automation that is flexible and robust to the uncertainties that may arise potentially replaces human labour in a difficult and hazardous task. Consequently, the disassembly process will be more economically feasible, especially in developed countries. Originality/value – The paper provides a practical approach to the basic cognitive functions that replicate the human expert's behaviour to the disassembly cell.
Assembly Automation – Emerald Publishing
Published: Feb 15, 2013
Keywords: Automation; Robots; Automated disassembly cell; Cognitive robotics; Execution monitoring; Vision‐based disassembly; Disassembly automation; Product uncertainties
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