{"id":978,"date":"2016-07-08T14:18:21","date_gmt":"2016-07-08T17:18:21","guid":{"rendered":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/?p=978"},"modified":"2019-07-01T14:41:08","modified_gmt":"2019-07-01T17:41:08","slug":"i-seminar-ieee-ufsm-on-applied-mathematics-and-computing","status":"publish","type":"post","link":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/2016\/07\/08\/i-seminar-ieee-ufsm-on-applied-mathematics-and-computing","title":{"rendered":"I Seminar IEEE UFSM on Applied Mathematics and Computing"},"content":{"rendered":"\n

\u00a0Robot Path Optimization for Spray Painting<\/h3>\n

14th July, 10 a.m. \u2013 P\u00e9rcio Reis Auditorium<\/h5>\n
\n

The aim for robot path optimization for spray painting is to minimize the deviation from the desired paint thickness and at the same time keep the cycle time, paint waste and smoothness of the path at acceptable levels. This is a demanding problem in many aspects. First it contains a large number of parameters. The path for painting the hood of a car may contain several hundred of time stamped points (position and orientation). Second the process itself is complex. To simulate the spray painting with electrostatic rotary bells one needs to solve a multi-physics problem involving air flow, electrostatics coupled with a spray of charged paint droplets.<\/p>\n<\/blockquote>\n

Preliminary Seminar Program<\/h5>\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nActivity<\/strong><\/td>\n<\/tr>\n
10:00
<\/span><\/td>\n		Opening Ceremony<\/span><\/td>\n<\/tr>\n
10:30
<\/span><\/td>\n		Invited Speaker: Dr Stefan Jacobsson<\/span><\/td>\n<\/tr>\n
12:00
<\/span><\/td>\n		Lunch<\/span><\/td>\n<\/tr>\n
14:00
<\/span><\/td>\n		Panel Presentations<\/span><\/td>\n<\/tr>\n
14:45
<\/span><\/td>\n		Coffee Break<\/span><\/td>\n<\/tr>\n
15:15
<\/span><\/td>\n		Panel Discussion<\/span><\/td>\n<\/tr>\n
17:15<\/span><\/td>\nClosing<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Invited Speaker<\/h5>\n
Dr. Stefan Jakobsson:\u00a0<\/strong>He\u00a0has a PhD in Mathematics from Lund University.\u00a0He has worked as researcher at the Fraunhofer-Chalmers Center for\u00a0Industrial Mathematics, FCC, Gothenburg, Sweden, since 2006.\u00a0His project work has been in the applied research areas of\u00a0computational electromagnetics, finite elements, simulation based\u00a0optimization and mathematical modelling.<\/div>\n
\u00a0<\/div>\n
\n

Panel Discussion<\/strong><\/h3>\n

\u00a0<\/p>\n

Panel Title:<\/strong>\u00a0Strategic R&D areas for establishing and\u00a0strengthening\u00a0partnership between\u00a0Fraunhofer-Chalmers institute and research groups at UFSM<\/div>\n
\u00a0<\/strong><\/div>\n
Chair:\u00a0<\/strong>Prof.\u00a0Renato Machado<\/div>\n
\u00a0<\/div>\n
Invited Panelists<\/h5>\n
Name:<\/strong>\u00a0Prof. Daniel Fernando Tello Gamarra, Ph.D (UFSM)<\/div>\n
\u00a0<\/strong><\/span><\/div>\n
Title:<\/strong>\u00a0Fuzzy Trajectory Tracking Controller for Differential Drive Robot<\/span><\/div>\n
\u00a0<\/strong><\/div>\n
Abstract:\u00a0<\/strong>This study introduces a simple fuzzy trajectory tracking controller for differential drive robots. The choice of the inputs and outputs for the fuzzy controller is one of its main features. The output variables are linear and angular velocities of the robot, commonly used in commercial robots. The inputs are the distance and the angle between the robot and the desired position, information that can be easily obtained. The proposed controller was implemented in a simulation environment and in the DaNI 2.0 mobile robot. The simulation and experimental results are depicted, demonstrating the controller efficiency.<\/span><\/div>\n
\u00a0<\/span><\/div>\n
Short bio:<\/strong>\u00a0He receive the bachelor degree in Engenharia Mec\u00e1nica from Universidad Nacional Del Centro Del Per\u00fa (1998), master degree in Electric Engineering from Universidade Federal do Esp\u00edrito Santo (2004), master degree in Informatics from University of Sussex (2007) and doctorate in Informatica from Scuola Superiore Sant\u2019Anna di Studi Universitari e Perfezionamento (2009). He has experience in image processing, neural networks, robot kinematics and image based visual servoing.<\/div>\n
\u00a0<\/strong><\/div>\n
Name:\u00a0<\/strong>Eng. Vin\u00edcius Ludwig Barbosa, Ph.D student (Blekinge Institute of Technology)<\/div>\n
\u00a0<\/strong><\/div>\n
Title:<\/strong>\u00a0Particle Swarm method applied on beamforming optimization of a switched-beam system<\/div>\n
\u00a0<\/div>\n
Abstract:<\/strong>\u00a0This work presents a four-element linear array composed of E-shaped microstrip antennas designed to switched-beam application in ISM (Industrial, Scientific and Medical) radio band. Particle Swarm Optimization (PSO) algorithm is applied to optimize four sets of excitation coefficients in order to achieve different radiation patterns. The solutions must control the main lobe direction and sidelobe level. In this application, the optimization requirements are reached when some constraints are assumed on the algorithm implementation.<\/div>\n
\u00a0<\/strong><\/div>\n
\n

Short bio:\u00a0<\/strong>He received the B.Sc. in Electrical\u00a0Engineering from Universidade Federal de Santa\u00a0Maria (UFSM), Santa Maria, Brazil, in 2013. Between\u00a02012 and 2016, he has joined the Signal Processing and\u00a0Communications Research Group (GPSCom) at UFSM and\u00a0currently is a Ph.D student at BTH (Blekinge Tekniska H\u00f6gskola) in Sweden. His research\u00a0interests are beamforming optimization methods,\u00a0antennas & propagation, digital beamforming, GNSS systems, and radio occultation.<\/p>\n

\"\"<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u00a0Robot Path Optimization for Spray Painting 14th July, 10 a.m. \u2013 P\u00e9rcio Reis Auditorium The aim for robot path optimization for spray painting is to minimize the deviation from the desired paint thickness and at the same time keep the cycle time, paint waste and smoothness of the path at acceptable levels. This is a […]<\/p>\n","protected":false},"author":115,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[62],"class_list":["post-978","post","type-post","status-publish","format-standard","hentry","category-sem-categoria","tag-ieee-student-branch"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/posts\/978","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/users\/115"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/comments?post=978"}],"version-history":[{"count":0,"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/posts\/978\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/media?parent=978"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/categories?post=978"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufsm.br\/cursos\/pos-graduacao\/santa-maria\/ppgee\/wp-json\/wp\/v2\/tags?post=978"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}