LEADER 04509nam  22007815  450 
001 996466138603316
005 20200702041219.0
010   $a0-387-34784-4
024 7 $a10.1007/BFb0039640
035   $a(CKB)1000000000548818
035   $a(SSID)ssj0000322964
035   $a(PQKBManifestationID)11277780
035   $a(PQKBTitleCode)TC0000322964
035   $a(PQKBWorkID)10296565
035   $a(PQKB)11221320
035   $a(DE-He213)978-0-387-34784-4
035   $a(PPN)155203320
035   $a(EXLCZ)991000000000548818
100   $a20121227d1989      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aError Detection and Recovery in Robotics$b[electronic resource] /$fby Bruce R. Donald
205   $a1st ed. 1989.
210  1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1989.
215   $a1 online resource (XXIV, 315 p. 94 illus.) 
225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v336
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a0-387-96909-8 
327   $aBasic Issues in Error Detection and Recovery -- Multi-Step Strategies -- Planning Sensing and Motion for a Mobile Robot -- Implementation, Computational Issues -- Conclusions.
330   $aRobotics is the science that attempts to forge an intelligent, computational connection between perception and action. Perhaps the most fundamental problems in robotics today are uncertainty and error in control, sensing, and modelling. In this monograph the author provides what is perhaps the first systematic treatment of the uncertainty problem. This book descibes the theory he developed for planning compliant motions for tasks such as robotic assembly. The planner can synthesize robot control programs that are robust in the face of uncertainty in the control system, the robot sensors, and variation in the geometry of the assembly. Perhaps the deepest contribution lies in a new theory of Error Detection and Recovery (EDR). While EDR is largely motivated by the problem of uncertainty its applicability may be quite broad. EDR has been a persistent but ill-defined theme in AI and robotics research. The author gives a constructive, geometric definition for EDR strategies, and shows how they may be computed. This theory represents an elegant mathematical attack on the problem of error detection and recovery based on geometric and physical reasoning. Finally, algorithms for the automatic synthesis of EDR strategies are described, and new results on their computational complexity are analyzed.
410  0$aLecture Notes in Computer Science,$x0302-9743 ;$v336
606   $aRobotics
606   $aAutomation
606   $aComputer-aided engineering
606   $aArtificial intelligence
606   $aComputer graphics
606   $aOptical data processing
606   $aControl engineering
606   $aMechatronics
606   $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020
606   $aComputer-Aided Engineering (CAD, CAE) and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I23044
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000
615  0$aRobotics.
615  0$aAutomation.
615  0$aComputer-aided engineering.
615  0$aArtificial intelligence.
615  0$aComputer graphics.
615  0$aOptical data processing.
615  0$aControl engineering.
615  0$aMechatronics.
615 14$aRobotics and Automation.
615 24$aComputer-Aided Engineering (CAD, CAE) and Design.
615 24$aArtificial Intelligence.
615 24$aComputer Graphics.
615 24$aImage Processing and Computer Vision.
615 24$aControl, Robotics, Mechatronics.
676   $a629.8/92
700   $aDonald$b Bruce R$4aut$4http://id.loc.gov/vocabulary/relators/aut$054945
906   $aBOOK
912   $a996466138603316
996   $aError detection and recovery in robotics$9344435
997   $aUNISA