02241nam a2200277 a 4500001001400000003000700014005001700021008004100038020002200079039010700101040000800208090003100216100003300247245007100280246005900351260003400410300005900444502010700503520095700610650001801567650001301585952012501598952013501723999002301858999008201881vtls000037412KUKTEM20251114204356.0090609t2008 my a f 000 0 eng|d aTHE0006095(Local) 9a201905151503baidac201107132134dVLOADc200908141625dVLOADc200908141559dVLOADy200906091123zida84 aUMP aTJ211.415 .F35 2008 rs Bc.0 aMohamed Faizan Basheer Ahmad10aObstacle avoidance legged robot/cMohamed Faizan Bin Basheer Ahmad3 aObstacle avoidance legged roboth[electronic resource] aKuantan, Pahang :bUMP,c2008 a82 p. :bill. (some col.) ;c30 cm. +e1 computer disc aProject paper (Bachelor of Electrical Engineering (Electronic) ) -- Universiti Malaysia Pahang - 2008 aMany mobile robots require an operator’s vision and intelligence for guidance and navigation. Animals use sensory systems such as hearing, and tactile to move freely through their environment. The aim of this project is to develop an avoidance behaviors program for a mobile robot that consists of 8 servo motors that been employed at 4 legs. Each leg contains 2 servo motors, one for X-axis and one for Y-axis. A PIC Microcontroller has been implemented to act as a brain for the robot that controls the walking and turning algorithm. Ultrasonic sensor was also developed to act as an ‘eye’ to the system and tells the brain about existence of obstacle in front. As a resultant, the obstacle avoidance legged robot system is been successfully developed that allows and will navigate the robot to move through the environment freely. But there is a certain limitation for the robot such as the wideness of the area, type of obstacle and surface.. 0aMobile robots 0aRobotics 00104071a20000b20000d2019-09-04l0oTJ211.415 .F35 2008 rs Bc.p0000037200r2019-09-04 00:00:00t1w2019-09-04yPSM 00104071a20000b20000d2019-09-04l0oCD 3164 | TJ211.415 .F35 2008 rs Bc.p0000037201r2019-09-04 00:00:00t1w2019-09-04yPSM aVIRTUA40c943d949 aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5200*5020*6500*6501*9992