97 research outputs found
UMPSA lecturer leads LRGS grant worth RM1.4 million
No full textNILAI, 3 October 2025 - Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) lecturer, Associate Professor Ts. Dr. Muhammad Aizzat Zakaria from the Faculty of Manufacturing and Mechatronic Engineering Technology (FTKPM), successfully received a Long-Term Research Grant Scheme (LRGS) from the Ministry of Higher Education (MOHE) amounting to RM1.4 million.
He leads the research project titled ‘Aeroground: Investigation of Autonomous Aero-Ground Robot for Surveillance and Reconnaissance - Artificial Intelligence Driven Navigation with Secure Edge Computing Integration’, which also involves researchers from Universiti Pertahanan Nasional Malaysia (UPNM) and Universiti Kebangsaan Malaysia (UKM)
Inovasi teknologi pendidikan UMPSA tarik perhatian di Asean TVET Conference 2025
No full textKUALA LUMPUR, 13 Ogos 2025 – Tiga inovasi teknologi pendidikan dari Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) menjadi tumpuan pengunjung apabila dipamerkan di ASEAN TVET Conference 2025 yang berlangsung di World Trade Centre (WTC) di sini.
Timbalan Perdana Menteri Malaysia, Yang Amat Berhormat, Dato’ Seri Dr. Ahmad Zahid Hamidi, turut meluangkan masa mengunjungi reruai UMPSA pada pameran tersebut.
Dalam sesi lawatan itu, beliau meninjau secara dekat tiga produk teknologi hasil penyelidikan dan inovasi UMPSA, iaitu DreBar – Unit mobiliti autonomi yang dibangunkan oleh Profesor Madya Ts. Dr. Muhammad Aizzat Zakaria dari Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan (FTKPM)
Karnival kerjaya manfaatkan pelajar FKP
No full textSeramai 200 orang pelajar tahun akhir Universiti Malaysia Pahang (UMP) menghadiri “Road to Graduation Carnival” anjuran Fakulti Kejuruteraan Pembuatan (FKP) dengan kerjasama Jabatan Hal Ehwal Korporat dan Komunikasi (JHKK) bagi meningkatkan kesedaran membina kerjaya masa depan
Menyelusuri teknologi di dalam kenderaan swa-pandu masa hadapan. Bersediakan kita menghadapinya
No full textKenderaan swa-pandu mempunyai potensi yang besar untuk merevolusikan bidang pengangkutan dan logistik. Apabila disebut revolusi, ia bermaksud semuanya akan dilakukan secara berbeza berbanding norma kebiasaan kenderaan biasa. Kenderaan ini mempunyai ciri yang rumit dan canggih yang membolehkan kenderaan ini bergerak sendiri tanpa bantuan pemandu dari satu tempat ke satu tempat
Stability derivative identification using adaptive robust extended kalman filter for multirotor unmanned aerial vehicle (M-UAV)
No full textThe invention of Unmanned Aerial Vehicle (UAV) in the early 1900 for
military purposes and UAV applications in commercial purposes afterwards in the
early 2000 accelerate its research in many engineering fields. Multirotor UAV such
as quadrotor is usually unstable without a flight controller. Consequently, a proper
and accurate model of the UAV dynamics is essential for its system stability. System
identification allows the researchers to create an accurate parameter to the mathematical model of a dynamic system based on measured data. This work emphasizes in designing a robust and adaptive filter to develop an accurate mathematical model based on Newton-Euler method which includes aerodynamic drag and
moment which are necessary in determining the correct model prediction. The focus
of the present work is mainly on Kalman filter development for parameter estimation. While Kalman filter is only efficient in linear problem, an extended version
of the filter itself deals with the nonlinear problem in which most real problem is
actually nonlinear. This work investigates the performance of the extended version of
the Kalman filter relative to parameter estimation. The performance of the filters are
evaluated based on their estimation with the actual recorded flight data and presented
based on data overlapping using Root Mean Square Error (RMSE). Ardupilot APM
is used to acquire the actual flight test data and MATLAB is utilized to carry out the
state estimation. To evaluate the performances of the filters, Goodness of Fit (GOF)
approach was used. It is found that the GOF index of the present approach is 0.853
which is 25% higher than that of the Robust Extended Kalman Filter approach for
the present flight test result
An investigation on the effect of lateral motion on normal forces acting on each tires for nonholonomic vehicle
No full textStability of vehicle has been the topic of interest among researchers for decades. Research conducted on vehicle stability relies on the vehicle’s lateral and longitudinal dynamics. In order to determine the longitudinal and lateral force acting on tires, the normal force that acts on the tire is required. Furthermore, the forces generated to move the vehicle are dependent on the vehicle’s mass. Smaller force is generated if the mass is low and vice versa. Therefore, in this paper, the vehicle modelling is conducted to determine the effect of lateral motion on the normal force generated. Dugoff’s tire model and combined vehicle dynamics are used to determine the characteristic of the vehicle. The lateral and longitudinal acceleration generated is used to calculate the normal force generated on each tire. Based on the result, a significant change in normal forces can be observed on each tire when a steering input of 0.05 rad is given. This shows a significant correlation between the lateral motion and normal tire force. Results obtained shows that normal force acting on the left and right side of the tires is affected by the direction of the lateral motion of the vehicle
Trajectory tracking analysis of planar end-effector upper limb rehabilitation device
No full textRehabilitation devices have become one of the more sought-after focus areas among researchers in the robotics field, where it could be used to assist patients in the process of stroke recovery. Therefore, the motivation of this thesis is to further investigate the planar end-effector upper limb rehabilitation device as a viable solution for patients with movement disorders, instead of the more expensive alternative of exoskeleton robots. This paper illustrates the mathematical modelling and simulation of a planar end-effector rehabilitation device for the upper limb. The rehabilitation device is of two degrees of freedom, and is used in this research due to its cost effectiveness and practicality. The derivation of the forward and inverse kinematics of the robotic system is established by using the Denavit-Hartenberg algorithm, which is proceeded to be used in the trajectory tracking of the end-effector of the device, as well as the programming of the feedback control system to control the actuators used in the system. The results of the simulation suggest that the mathematical modelling of the system is able to predict the behaviour of the system, which is to be implemented in this robotic device for upper limb rehabilitation
A study on the exposure of vertical vibration towards the brain on seated human driver model
No full textHuman experiences low-frequency excitation through driving which affect the human’s health. Research had been conducted over the years by using biodynamic model of seated human body to analyze and observe the effect of vehicle vertical vibration towards the subject. However, previous study only focuses on the effect of vertical vibration up to head segment without taking the brain effect into account. In this study, biodynamic model is modelled including the brain to study the impact of vibration on the brain. Spring-mass-damper system are used in this model to represent the biodynamic model of seated human body and compared with previous study. From the model, it shows that the proposed model able to show the significant impact that happen on the skull and brain when vibration is exerted to the human body
Rover car outdoor localisation for navigation tracking using differential global positioning system estimation
No full textGPS is a technique that has become very popular for outdoor positioning. Due to the error in satellite signal, the GPS receivers determine the accuracy of a current location with about 100 m in latitude and 156 m in longitude. Autonomous vehicles depend on positioning accuracy in navigation tracking. Inaccuracy of positioning will cause the autonomous vehicles moving in dangerous way. So in this paper, Differential Global Positioning System (DGPS) experiment will be introduced to improve the accuracy of the positioning data. In the experiment, reference station and rover station will receive the positioning data from GPS satellites and the positioning data collected from reference station will be used to calculate the errors and the errors correction will then be transferred to rover station to improve the accuracy of positioning data. The results obtained will be discussed based on the range and average of positioning errors and the Differential Global Positioning System (DGPS) improvement at different time
A comprehensive review on different path planning methods for autonomous vehicles
No full textAutonomous vehicle is an active field where researches are going on to improve the vehicle's capability to travel autonomously from one place to another. Vehicle has to progress through different levels of control structure to navigate through different environments. Among those path planning plays a major role in autonomous vehicles navigation as different planning methods need to be used for planning the path at different intersections for the vehicle. However, AVs still face some challenges in urban intersections such as roundabouts, obstacle avoidance, which need to be resolved for completely automated path planning in AVs. So, this paper presents an overview on different path planning methods implemented in autonomous navigation. A description on different path planning methods and implementation of these methods by different authors is presented
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