Fuzzy logic based obstacle avoidance strategy for mobile robot (Record no. 6957)

MARC details
000 -LEADER
fixed length control field 02229nmm a2200301 a 4500
001 - CONTROL NUMBER
control field vtls000098397
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113333.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161213s2016 my fq d 001 0 eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0005087(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905131247
Level of effort used to assign nonsubject heading access points hanafiah
-- 201612131441
-- saini
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKP .L445 2016 r Bc.
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) CD 10416
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lee, Jeng Ye
245 10 - TITLE STATEMENT
Title Fuzzy logic based obstacle avoidance strategy for mobile robot
Medium [electronic resource] /
Statement of responsibility, etc. Lee Jeng Ye
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 1 computer disc :
Other physical details digital data ;
Dimensions 12 cm.
500 ## - GENERAL NOTE
General note Faculty of Manufacturing Engineering
500 ## - GENERAL NOTE
General note Theses Gred B
502 ## - DISSERTATION NOTE
Dissertation note Project Paper (Bachelor of Engineering in Mechatronis Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520 3# - SUMMARY, ETC.
Summary, etc. The application of mobile robot often used in an inappropriate place for human. Sometime, it would involve in unknown environment. Obstacle avoidance are the key feature to control the mobile robot in order to avoid collision which provide safety to the mobile robot and the environment object. Obstacle avoidance is basically a strategy to define an obstacle by processing the distance between it, decision making in controller and giving output which control the movement or motion of the mobile robot. In this research, an obstacle avoidance strategy is using fuzzy logic approach to control the action of mobile robot was designed. The simulation design and algorithms of the obstacle avoidance with fuzzy inference system is described. The consideration of obstacle are depend on the data calculated throughout the design. The result shown are included on three model which is the target driven model, obstacle avoidance target driven model and multiple obstacle avoidance target driven model. The mobile robot are able to avoid all obstacle that set on the simulation environment.
538 ## - SYSTEM DETAILS NOTE
System details note Item in PDF format
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Manufacturing Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FKP .L445 2016 r Bc. | CD 10416 0000115931 04/09/2019 1 04/09/2019 Final Year Report

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