{"id":12651,"date":"2021-11-15T18:14:54","date_gmt":"2021-11-15T23:14:54","guid":{"rendered":"https:\/\/carleton.ca\/scs\/?page_id=12651"},"modified":"2021-11-15T18:16:10","modified_gmt":"2021-11-15T23:16:10","slug":"tr-125-trajectory-planning-of-robot-manipulators-in-noisy-workspaces-using-stochastic-automata","status":"publish","type":"page","link":"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-1987\/tr-125-trajectory-planning-of-robot-manipulators-in-noisy-workspaces-using-stochastic-automata\/","title":{"rendered":"TR-125: Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata"},"content":{"rendered":"

Carleton University
\nTechnical Report<\/a> TR-125<\/strong>
\nOctober 1987<\/p>\n

Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata<\/h2>\n
\n
\n
B.J. Oommen, S. Sitharam Iyengar , Nicte Andrade<\/div>\n<\/div>\n<\/div>\n
\n

Abstract<\/h3>\n

We consider the problem of a robot manipulator operating in a noisy workspace. The robot is assigned the task of moving from Pi to Pt. Since Pi is its initial position, this position can be known fairly accurately. However, since Pf is usally obtained as a result of a sensing operation, possibly vision sensing, we assume that Pf is noisy. We propose a solution to achieve the motion which involves a new learning automaton, called the Discretized Linear Reward-Penalty (DLRp) automaton. The strategy we propose does not involve the computation of any inverse kinematics. Alternatively, an automaton is positioned at each joint of the robot, and by processing repeated noisy observations of P1 the automata operate in parallel to control the motion of the manipulator.<\/p>\n<\/div>\n

TR-125.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Carleton University Technical Report TR-125 October 1987 Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata B.J. Oommen, S. Sitharam Iyengar , Nicte Andrade Abstract We consider the problem of a robot manipulator operating in a noisy workspace. The robot is assigned the task of moving from Pi to Pt. Since Pi is […]<\/p>\n","protected":false},"author":49,"featured_media":0,"parent":11827,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"\nTR-125: Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata - School of Computer Science<\/title>\n<meta name=\"description\" content=\"Carleton University Technical Report TR-125 October 1987 Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata B.J.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-1987\/tr-125-trajectory-planning-of-robot-manipulators-in-noisy-workspaces-using-stochastic-automata\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-1987\/tr-125-trajectory-planning-of-robot-manipulators-in-noisy-workspaces-using-stochastic-automata\/\",\"url\":\"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-1987\/tr-125-trajectory-planning-of-robot-manipulators-in-noisy-workspaces-using-stochastic-automata\/\",\"name\":\"TR-125: Trajectory Planning of Robot Manipulators in Noisy Workspaces Using Stochastic Automata - 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