REVIEW OF VIBRATION-BASED SURFACE & TERRAIN CLASSIFICATION FOR WHEEL-BASED ROBOT IN PALM OIL PLANTATION

27th October 2022; 13th December 2022; 21st January 2023; 23rd January 2023

Authors

  • Bukhary Ikhwan Ismail Senior Staff Researcher, Industrial Autonomy, IoT Systems, MIMOS Berhad, Kuala Lumpur, Malaysia
  • Hishamadie Ahmad Senior Engineer, Industrial Autonomy, IoT Systems, MIMOS Berhad, Kuala Lumpur, Malaysia
  • Shahrol Hisham Baharom Staff Engineer, Industrial Autonomy, IoT Systems, MIMOS Berhad, Kuala Lumpur, Malaysia
  • Mohammad Fairus Khalid Principal Engineer, Industrial Autonomy, IoT Systems, MIMOS Berhad, Kuala Lumpur, Malaysia
  • Muhammad Nurmahir Mohamad Sehmi Engineer, Industrial Autonomy, IoT Systems, MIMOS Berhad, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.20319/mijst.2023.9.3548

Keywords:

Robot, Surface Classification, Terrain Classification, Vibration, Palm Oil, Plantation

Abstract

Palm oil can grow in almost flexible topography. On flats, slopes, hilly, or undulating areas and whether on inland or reclaimed coastal areas. This makes the palm oil plantation environment unique with various soil types & surfaces. Each surface has a unique physical characteristic that directly influences the driving, handling, power efficiency, stability and safety of a robot. A mobile robot should have knowledge not limited to obstacles, but also the surface that the robot traverses to estimate wheel slippage and apply corrective measures. This paper discusses the harshness factors in palm oil plantation estates and the effects on wheel traction. We then present our review of several vibration-based surface classification techniques. Based on our survey, a combination of multimodal sensory for surface classification is more suitable to identify surfaces and terrain in palm oil plantations.

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Published

2023-03-15

How to Cite

Ismail, B. I., Ahmad, H., Baharom, S. H., Khalid, M. F., & Sehmi, M. N. M. (2023). REVIEW OF VIBRATION-BASED SURFACE & TERRAIN CLASSIFICATION FOR WHEEL-BASED ROBOT IN PALM OIL PLANTATION: 27th October 2022; 13th December 2022; 21st January 2023; 23rd January 2023. MATTER: International Journal of Science and Technology, 9, 35–48. https://doi.org/10.20319/mijst.2023.9.3548

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