Centre for Autonomous Systems
and Robotics Research (CASRR)
Sustainable Development Goals (SDGs)
Chairman & Members
Chairman:
Ts. Dr. Lee Yoon Ket
Research Group:
Artificial Intelligent & Data Analytics Application Research Group - Dr Goh YH (Group Leader)
Autonomous Robot Research Group- Dr Chiew TH (Group Leader)
Industrial Automation Application Research Group – Dr. Teoh CY (Group Leader)
Industry 4.0 Research Group - Dr Lee YK (Group Leader)
Precision Agriculture Research Group -Dr. Lum KY (Group Leader)
Members:
Associate Prof. Dr. Yip Mum Wai (Faculty of Engineering and Technology)
Ts. Dr. Lim Li Li (Faculty of Engineering and Technology)
Dr. Goh Yeh Huann (Faculty of Engineering and Technology)
Dr. Ong Jia Jan (Faculty of Engineering and Technology)
Dr. Teoh Choe Yung (Faculty of Engineering and Technology)
Ir. Dr. Vijayapraas A/l Muniandy (Faculty of Engineering and Technology)
Dr. Lum Kin Yun (Faculty of Engineering and Technology)
Dr. Chiew Tsung Heng (Faculty of Engineering and Technology)
Dr. Chang Kai Ming (Faculty of Engineering and Technology)
Dr. Ko Ying Hao (Faculty of Engineering and Technology)
Ts. Dr. Tew Yiqi (Faculty of Computing and Information Technology)
Mr. Chew Khai Min (Faculty of Engineering and Technology)
Mr. Tan Yong Li (Faculty of Engineering and Technology)
Objectives
The main aim of CASRR is to lead and contribute in the advancement of autonomous technology and fulfil the high demand of expertise for digitalization and autonomous, through the synergy between research, applications of technology, industry partnership and project collaborations, in both academic and industry sectors.
For the academic sector, the CASRR is devoted to the fulfilment of scholarly and academic activities including but not limited to the following:
To develop integrated technologies concerning the autonomous field in supporting pillars (autonomous robots and system integration) in Industry 4.0.
To promote and facilitate collaborative and/or interdisciplinary research and enhancement of research networking capacity and infrastructure.
To provide education and training in research and related skills, especially for postgraduate and undergraduate students.
To contribute to the university college’s educational and research missions and to support synergies between research, teaching and learning.
To contribute to TAR UMT’s research and commercialization endeavour.
For industry, the CASRR is devoted to the fulfilment of industry partnership and project collaborations including but not limited to the following:
To attract external funding through industrial partnership and / or project collaboration.
To promote and facilitate collaborative industrial partnership and / or projects.
To consult and provide solutions to industry-related problems to collaborative partners.
To develop and apply the integrated technologies concerning the autonomous field in industry.
To provide training, hands-on experiences and related skills for postgraduate and undergraduate students, and collaborative partners.
Vision Statement
To be a pioneer and one of the world’s leading consultancy and research Centre in the advancement of autonomous technology research and solutions provider to industry.
To work together with other research Centres to bring out research findings that can be incorporated by TAR UMT and industry for its progressive development.
Operations and Activities
In furtherance of its stated objectives and deliverables, the Centre shall organize and conduct various activities such as those listed below:
Organize conference, seminars, workshops and training related to autonomous to students, lecturers, and industry partners.
Identify challenges and provide solutions to industry-related problems to collaborative partners.
Establish joint research and/or industry-related projects with other universities and/or industry partners.
Obtain external funding to allow proof-of-concept or preliminary work which can strengthen research proposals to external agencies.
Accelerate publication rate and patent filing.
Serve as a gateway for our graduates to explore new technologies and culture.
Funding, Facilities and Equipment
Members of the Centre will apply for research or industry funding from the Malaysian Government or International research grants to conduct its activities. Apart from that, the Centre will source for software and equipment sponsorship from the industry. The Centre will use the existing facilities which house suitable instruments, experimental setups and engineering equipment with computers that are loaded with licensed software within the Main Campus. The grants held by the Centre are as follows:
Principal Investigator: Dr Lee Yoon Ket
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Government grant- RMK11 Grant on Customate Line
Project Title: Development of Industry 4.0 Manufacturing Line Testbed for Ginger Products
Duration: 01.12.2019 - 30.11.2022 (3 years)
Approved budget: RM 374,512.00
Principal Investigator: Dr Lee yoon ket
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant –Asia Roofing Industries Sdn. Bhd
Project Title: Automated Unload and Load for long forming products
Duration: 1.12.2019- 30.11.2021 (2 years)
Approved budget: RM96,250
Principal Investigator: Dr Lee Yoon Ket
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant –ICA 40 Sdn Bhd .
Project Title: Simulation Model & Digitalization of Local SME Manufacturing Factory
Duration: 1.1. 2023 - 31.12.2024 (2 years)
Approved budget: RM 95,128.00
Principal investigator: Dr Lee Yoon Ket
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Hotayi Electronic(M) Sdn. Bhd
Project Title: Automated Production Simulation
Duration: 01.03.2018 - 31.08.2019 (1.5 years)
Approved Budget: RM 18,500.00
Principal investigator: Ir Dr Goh Yeh Huann
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Malaysia Timber Council
Project Title: Sawmill Retrofitting Project
Duration: 01.08.2021 - 31.07.2022 (1 years)
Approved Budget: RM 95,400.00
Principal investigator: Dr Chang Kai Ming
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Aonic Holdings Pte Ltd (formerly Poladrone Solutions Sdn Bhd)
Project Title: Design an autonomous Unmanned Ground Vehicle (UGV) with a suitable powertrain system to use in the Palm Oil Estate with challenging terrain behaviour.
Duration: 01.08.2022 - 31.07.2023 (1 years)
Approved Budget: RM 1,172.89
Principal investigator: Dr Chang Kai Ming
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Aonic Holdings Pte Ltd (formerly Poladrone Solutions Sdn Bhd)
Project Title: Collision avoidance between drones using latest wireless technology.
Duration: 01.08.2022 - 31.07.2023 (1 years)
Approved Budget: RM 670.24
Principal investigator: Dr Chang Kai Ming
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: TAR UC Internal Research Grant
Project Title: Autonomous robot navigation system for monitoring and maintenance of OMIS line in the context Industry 4.0. (UC/I/G2022-00097)
Duration: 2 years (To be confirmed, September 2023 to August 2025)
Approved Budget: RM 65,000
Principal investigator: Ir. Dr Chiew Tsung Heng
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Aonic Holdings Pte Ltd (formerly Poladrone Solutions Sdn Bhd)
Project Title: PID Control and Balancing for 2 and 4 copter design
Duration: 01.08.2022 - 31.07.2023 (1 year)
Approved Budget: RM 1,000.00
Principal investigator: Ir. Dr Chiew Tsung Heng
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: TAR UMT Internal Grant
Project Title: Human-robot Cooperative Motion Control using Robotic Perception System (UC/I/G2023-00103)
Duration: 01.09.2023 - 31.08.2025 (2 years)
Approved Budget: RM 83,000.00
Principal investigator: Dr Ong Jia Jan
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Industrial grant – Aonic Holdings Pte Ltd (formerly Poladrone Solutions Sdn Bhd)
Project Title: Water Pump Control and Water Flow Rate Measurement for Accuracy Improvement
Duration: 01.08.2022 - 31.07.2023 (1 year)
Approved Budget: RM 1,000.00
Principal Investigator: Dr Teoh Choe Yung
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Top Glove International (M) Sdn Bhd
Project Title: Design of R&D Robotic Simulator and Pin Hole Defects Improvement for Glove Production
Duration: 1 July 2019 – 30 June 2022 (3 years)
Approved budget: RM 88,472.00
Principal Investigator: Prof. Ts. Dr Lai Weng Kin
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Genting Plantations (WM) Sdn Bhd
Project Title: Enhancing Agriculture Instruments for Palm Oil Plantation
Duration: 1 Sept 2021 – 30 Aug 2022 (1 year)
Approved budget: RM 39,500
Principal Investigator: Dr Yiauw Kah Haur
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Genting Plantations (WM) Sdn Bhd
Project Title: Ezicut Phase 2
Duration: 1 Nov 2022 – 31 Oct 2023 (1 year)
Approved budget: RM 21,000
Principal Investigator: Ir. Lim Joo Eng
Faculty: Faculty of Engineering and Technology (FOET)
Type of Grant: Genting Plantations (WM) Sdn Bhd
Project Title: Loose Fruits Mini Collector Phase 2
Duration: 1 July 2023 – 31 December 2023 (6 months)
Approved budget: RM 30,000
Collaboration Projects with Industry
The Centre is actively engaged with industrial projects through the Memorandum of Understanding (MoU) and Memorandum of Agreement (MoA) between TAR UMT and industries as follows:
Automated Production Simulation (MoA between TAR UMT and Hotayi Electronic (M) Sdn. Bhd.)
Machine and Process Data Analytics using Artificial Intelligence (MoA between TAR UMT and Hotayi Electronic (M) Sdn. Bhd.)
Automated Unload and Load for Long Metal Roll Forming Products (MoA between TAR UMT and Asia Roofing Industries Sdn. Bhd (AJIYA Groups))
Automated System for Assembly of Metal Door/ Window Frames (MoA between TAR UMT and Asia Roofing Industries Sdn. Bhd (AJIYA Groups))
Pinhole Reduction of Glove and Motion Design for Uniform Coating of Glove (MoA between TAR UMT and Top Glove)
Industry 4.0 Manufacturing Testbed (MoU between TAR UMT and Advantech Malaysia)
Industry 4.0 Manufacturing Testbed (MoU between TAR UMT and Hua Yong Engineering Sdn. Bhd.)
Industry 4.0 Manufacturing Testbed (Delta supporting in Kind)
Industry 4.0 Manufacturing Testbed (Flexlink Sdn Bhd supporting in Kind)
MoU between TAR UMT and ICA 40 Sdn. Bhd.
Recent Publications:
TITLE: Ultrasonic guided wave testing on pipeline corrosion detection using torsional T(0,1) guided waves
SOURCE: Journal of Mechanical Engineering and Sciences (JMES)
AUTHOR: TEOH CHOE YUNG (Main Author)
RESEARCH CENTRE: CASRR
SDG: 9
CITATION: Yung, T. C., J.S. Pang, M.N. Abdul Hamid, L.E. Ooi, & W.H. Tan. (2022). Ultrasonic guided wave testing on pipeline corrosion detection using torsional T(0,1) guided waves. Journal of Mechanical Engineering and Sciences, 16(4), 9157–9166. https://doi.org/10.15282/jmes.16.4.2022.01.0725
ABSTRACT:
Ultrasonic guided wave testing (UGWT) is used in rapid screening to detect, locate and classify corrosion defects. This non-destructive testing technique can perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the mode conversion phenomena and the dispersive nature of the guided waves make corrosion detection difficult. Hence, the parametric studies on the response signals of a T (0, 1) wave from pipe defects were presented in this paper. Firstly, a mathematical model of 6-inch schedule 40 pipes was developed. The corrosion profile of various geometries was then constructed on the outer surface of the pipeline by varying the circumferential length and depth. The numerical study was performed to analyse the characteristics of the response signals when a torsional guided wave impinges on the corroded pipelines. A five-cycle Hanning tone-burst signal with a central frequency of 30k Hz was used throughout the study. The results demonstrated that mode conversion to a flexural mode F (1, m) occurs when the stimulated T (0, 1) strikes non-symmetric defects. Nonetheless, as the circumferential extent of the corrosion increased, the response signals tended to behave symmetrically, and there was less mode conversion detected. Thus, the presence of flexural mode F (1, m) can be used as the criteria to distinguish symmetric and asymmetric faults. In addition, the results demonstrated that the reflection coefficients increase monotonically with the defect's depth due to the increases in the estimated cross-sectional area loss (ECL). As a result, a more significant proportion of the transmission wave was reflected. These findings serve as guidelines for on-site inspections. With the known speed of guided wave propagation, it is possible to precisely forecast the position of faults.
SDG:
TITLE: Modal Analysis of Delaminated Flax Fibre Reinforced Epoxy Composite Plate
SOURCE: Journal of Mechanical Engineering (JMechE)
AUTHOR: TEOH CHOE YUNG (Co-Author)
RESEARCH CENTRE: CASRR
SDG: 9
CITATION: Cong Ho, Z., & Teoh, C. (2022). Modal Analysis of Delaminated Flax Fibre Reinforced Epoxy Composite Plate. Journal Of Mechanical Engineering (JMechE), 19(3), 135-153. doi:10.24191/jmeche.v19i3.19800 link
ABSTRACT:
This paper describes the influence of fibre orientation, delamination size and location on the natural frequencies of the single mid-plane delaminated unidirectional flax fibre reinforced epoxy (FFRE) composite plates under different boundary conditions numerically by using ANSYS MAPDL. The delaminated composite plate was modelled as two separate volumes divided at the midplane of the plate, with the nodes on the intact surfaces merged. In contrast, the nodes on the delaminated region remained separate. The results show that the CCCC delaminated composite plate has the highest fundamental natural frequency (219.996 Hz). Furthermore, for increasing fibre orientation from 0 to 45, the fundamental natural frequencies decreased by 10.12% for the CCCC condition and increased by 6.01% for the SSSS condition. The fundamental natural frequency for the cantilever condition decreased 60.91% when fibre orientation increased to 90. Moreover, the CCCC condition significantly reduces the fundamental natural frequency (up to 38.95%) with increasing delamination size. For CCCC and SSSS conditions, the centre delamination possesses the highest fundamental natural frequency (219.996 Hz and 116.525 Hz, respectively). The highest fundamental natural frequency for cantilever conditions is 33.081 Hz, with delamination located at the middle of the width and near the free end.
SDG:
Others Publication:
Journal
M Chew, W.P Lee, Y.K. Lee “Product Life Cycle Data Management and Analytics in RAMI4.0 using the Manufacturing Chain Management Platform”, IEM Journal
k. Lee, T.H. Chiew , J.J. Ong, K.M. Chang, T.W.Chan, W.B. Chan, G.L. Eyo, L.H. Ng, J.K.B Pang “Design Of Integration Framework Towards Industry 4.0: From Shop Floor To Cloud” IEM Journal
Maharof, Z. Jamaludin, M. Minhat, N. A. Anang, and T. H. Chiew, 2020. Force compensation for precise positioning in machine tools via state observer design, The International Journal of Advanced Manufacturing Technology, 107 (1-2), pp. 411 – 423.
M Yap, T.H Tee, A Marshall, K.S Eu, Y. K. Lee,, T. L, P.H Lim Y. Chook “A Network Adaptive Prediction Algorithm for Haptic Data Under Network Impairments”. IEEE Access, 2021, Vol 9, pp 52672-52683 DOI: 10.1109/ACCESS.2021.3070063
H. Goh, Z.J. Ho, C.H. Ng and Y.L. Goh, " Enhanced CNN-Based Plant Growing-Stage Classification Using Additional Information Carried in an Additional Channel", IEIE Transactions on Smart Processing and Computing, 2019, 8(3). pp.171-177, DOI.org/10.5573/IEIESPC.2019.8.3.171
H. Goh, Y.K. Lee, M.W. Yip, K.S. Eu, Y.L. Goh, K.Y. Lum, "Digital Hearing Aid Signal Processing System Using Android Phone", International Journal of Applied Pharmaceutics, 2019, 11(5), pp. 177-181, DOI:http://dx.doi.org/10.22159/ijap.2019.v11s5.
H. Goh, Y.S. Lee, G.U. Sankar, T.Y. Ong, C.Y. Ng, "Bluetooth-based Hoverboard Security Enhancement Using Android Smartphone", Journal of Technology, 2018, 33(2), pp. 71-77, DOI: 10.29507/JT
H. Goh, Y.L. Goh, Y.K. Lee and Y.H. Ko, "Robust Speech Recognition System Using Multi-Parameter Bidirectional Kalman Filter", International Journal of Speech Technology, 2017, 20(3), pp. 455-463, DOI: 10.1007/s10772-017-9417-1.
YH Ko, LE Ooi, YK Lee, CW Ko, KR Leong, CB Lim, IKL Ung. “Vibration Analysis of Electronic Baby Hammock”, Transactions on Science and Technology. 2016, 3(2), pp328 - 335.
KS Eu, SLYong, MW Yip, YK Lee, YH Ko, KM, Yap “Finger bending motion controlled electrical wheelchair by using flexible bending sensors with Kalman filter algorithm” Contemporary Engineering Sciences Vol. 7, 2014, no. 13, 637 – 647
Conference Proceedings
X. Khoo, T. H. Chiew, Y. K. Lee, J. J. Ong, K. Y. Lew, 2022. Simulation Modelling of Manufacturing System: The First Step towards Digital Twin. International Conference on Applied Science, Technology, and Engineering (ICASTE 2022), Jakarta, 23-24 March 2022.
H. Chiew, W. K. Chow, Z. Jamaludin, A. Y. Bani Hashim, L. Abdullah, and N. A. Rafan, 2022. Design and analysis of modified nonlinear PID controller for disturbance suppression in machine tools, Lecture Notes in Mechanical Engineering, Springer, pp. 105 – 115.
Jamaludin, P. Y. Hau, T. H. Chiew, L. Abdullah, and N. A. Rafan, 2022. Investigation on disturbance force compensation via state observer design and cascade P/PI controller approach, Lecture Notes in Mechanical Engineering, Springer, pp. 158 – 170.
Jamaludin, P. Puveneswaran, T. H. Chiew, and M. Maharof, 2022. Design and application of ST-SMC controller for position control of a milling table, Lecture Notes in Mechanical Engineering, Springer, pp. 236 – 246.
Z Chua, Y.K Lee, T.H Chiew, J. J Ong, K.M Chang, K.X Lau, K.H Leong, C.W Tan, W.B Chan, G.L Eyo, L.H. Ng and J. K. B. Pang “Design of Integration Framework for the Process Control in the Context of Industry 4.0: From Cloud to Field Devices”. International Conference on Digital Transformation and Application (ICDXA 25th-26th October 2021,TAR UC KL
K Lee, K.S Eu, Z.Y Looi, T.H Chiew , K.M. Chang, J.J Ong, Y.H Goh, “An Exploratory Study of Drone Flight Path Replication with Visual Positioning Checking.”, International Conference on Applied Science, Technology, and Engineering (ICASTE) Feb 2021
H Chiew, S.H Ng, YK Lee , K.M. Chang, J.J Ong, Y.H Goh, , “Design and Analysis Of Super Twisting Sliding Mode PID Controller For Two-Wheel Self-Balancing Robot.”, International Conference on Applied Science, Technology, and Engineering (ICASTE) Feb 2021.
H. Chiew, H. Lee, Y. K. Lee, K. M. Chang, J. J. Ong, and K. S. Eu, 2021. Second order sliding mode controller for altitude and yaw control of quadcopter, 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 27 – 28 August 2021, pp. 97 – 102.
K. Lee; K.S Eu; C. W Choy, “Simultaneous Localization and Mapping with Basic Cognitive Understanding of Environments”. 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) Nov 2020,DOI: 10.1109/ISMSIT50672.2020.9255187.
A. Rafan, Z. Jamaludin, T. H. Chiew, and M. Maharof, 2020. Nonlinear friction analysis of a modified switching function controller in pre-sliding regime, Lecture Notes in Mechanical Engineering, Springer, pp. 309 – 318.
S. Tong, T. H. Chiew, Z. Jamaludin, A. Y. Bani Hashim, L. Abdullah, and N. A. Rafan, 2020. Design of sliding mode controller using smoothening method for chattering suppression in machine tools, Lecture Notes in Mechanical Engineering, Springer, pp. 102 – 111.
K.Lee, S.D. Tan, Y.H. Goh and C.H. Lim, “Comparative Study on Obstacle Detection and Avoidance System by using Real-Time image Processing and Artificial Intelligence in Autonomous Wheelchair Application, 2019 IEEE 3rd Advanced Information Management,Communicates, Electronic and Automation Control Conference (IMCEC 2019), 2019, Chongqing, China 2019.
H. Goh, K.X. Lau and Y.K. Lee, "Audio-Visual Speech Recognition System Using Recurrent Neural Network", InCIT2019 4th International Conference on Information Technology, 2019, Bangkok, Thailand. pp. 38-43
KS Eu, CH Ang, YK Lee, TT Tay, YH Goh and CY Teoh, “Tomato Automation Cultivation System: Automatize Watering and Fertilizer Based On Sensory Information”. EAAIC 2018 Engineering Application of Artificial Intelligence Conference 2018 Kota Kinabalu, Malaysia. DOI:10.1051/matecconf/201925502006.
H. Goh, C.H. Ng, Y. K. Lee, C. Y. Teoh and Y.L. Goh, "Optimum CNN-Based Plant Mutant Classification," TENCON2018, IEEE region 10 conference, 2018, Jeju, South Korea, pp. 679-682.
H. Goh, T.T. Tay, K.Q. Pung, Y.K. Lee, Y.L. Goh, "Neural Network Based Vehicle Localization Using Tchebichef Moments," IMCEC2018, IEEE, 2018, Xi'an, China. pp. 861-864, DOI: 10.1109/IMCEC.2018.8469715.
K. Lee, Y.H. Goh and Y. Tew, "Cyber Physical Autonomous Mobile Robot (CPAMR) Framework in the Context of Industry 4.0," IC4M2018, 2018, Barcelona, Spain. DOI: 10.1051/matecconf/201816702005.
K. Lee, J.M. Lim, K.S. Eu, Y.H. Goh, Y. Tew, "Real Time Image Processing Based Obstacle Avoidance and Navigation System for Autonomous Wheelchair Application,” APSIPA2017, 2017, Kuala Lumpur, Malaysia, pp 380-385 DOI: 10.1109/APSIPA.2017.8282062.
Y Tew, TY Tang, YK Lee 2017 “A Study on Enhanced Educational Platform with Adaptive Sensing Devices using IoT Features”. APSIPA2017, 2017, Kuala Lumpur, Malaysia, pp 380-385 DOI: 10.1109/APSIPA.2017.8282061.
H. Goh, Y.H. Ko, Y.K. Lee and Y.L. Goh, "Fast Wavelet-based Pitch Period Detector for Speech Signals", CEIS International Conference 2016, Shanghai China, 2016. vol. 52, pp. 494-497. DOI:10.2991/ceis-16.2016.101.
Vijayapragas, “Development of Racking and Irrigation System for Industrial Revolution 4.0 Vertical Farming.” IEEE Conference on Technologies for Sustainability, 2022, Corona, USA, pp 132–135. DOI: 10.1109/SusTech53338.2022.9794218.